CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Data Warehousing and Data Mining Research Papers - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "by_tag", 'action': "show_one", 'controller_action': 'by_tag#show_one', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="mL1AY/+ImlPm+bcfz2GTcJnm64fhov63fUecywRwoi2Cr1xPj7jhGdbVC/1X/Shx8MNX+QBf5XTUN4/iGHHiZA==" /> <link href="/Documents/in/Data_Warehousing_and_Data_Mining?after=50%2C38243082" rel="next" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="description" content="View Data Warehousing and Data Mining Research Papers on Academia.edu for free." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'by_tag'; var $action_name = "show_one"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15275,"monthly_visitors":"113 million","monthly_visitor_count":113468711,"monthly_visitor_count_in_millions":113,"user_count":277133947,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732397872000); window.Aedu.timeDifference = new Date().getTime() - 1732397872000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-8d53a22151f33ab413d88fa1c02f979c3f8706d470fc1bced09852c72a9f3454.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-f8fe82512740391f81c9e8cc48220144024b425b359b08194e316f4de070b9e8.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining" /> </head>   <body class='c-by_tag a-show_one logged_out u-bgColorWhite'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav no-sm no-md"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <div class="DesignSystem" style="margin-top:-40px"><div class="PageHeader"><div class="container"><div class="row"><style type="text/css">.sor-abstract { display: -webkit-box; overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Data Warehousing and Data Mining</h1><div class="u-tcGrayDark">19,783 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Data Warehousing and Data Mining</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Data_Warehousing_and_Data_Mining">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36015809" data-work_id="36015809" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36015809/A_SURVEY_ON_DATA_MINING_IN_STEEL_INDUSTRIES">A SURVEY ON DATA MINING IN STEEL INDUSTRIES</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In Industrial environments, huge amount of data is being generated which in turn collected indatabase anddata warehouses from all involved areas such as planning, process design, materials, assembly, production, quality, process control,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36015809" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In Industrial environments, huge amount of data is being generated which in turn collected indatabase anddata warehouses from all involved areas such as planning, process design, materials, assembly, production, quality, process control, scheduling, fault detection,shutdown, customer relation management, and so on. Data Mining has become auseful tool for knowledge acquisition for industrial process of Iron and steel making. Due to the rapid growth in Data Mining, various industries started using data mining technology to search the hidden patterns, which might further be used to the system with the new knowledge which might design new models to enhance the production quality, productivity optimum cost and maintenance etc. The continuous improvement of all steel production process regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of steel producer. Therefore, zero defect strategy is popular today and to maintain it several quality assurance techniques areused. The present report explains the methods of data mining and describes its application in the industrial environment and especially, in the steel industry.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36015809" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="21c16618f133a02b621e2d80d5d7083f" rel="nofollow" data-download="{"attachment_id":55902558,"asset_id":36015809,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55902558/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26099471" href="https://independent.academia.edu/JournalIJCSES">International Journal of Computer Science and Engineering Survey (IJCSES)</a><script data-card-contents-for-user="26099471" type="text/json">{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=60650","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}</script></span></span></li><li class="js-paper-rank-work_36015809 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36015809"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36015809, container: ".js-paper-rank-work_36015809", }); });</script></li><li class="js-percentile-work_36015809 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 36015809; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_36015809"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_36015809 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="36015809"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 36015809; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=36015809]").text(description); $(".js-view-count-work_36015809").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36015809").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36015809"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">22</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="433" href="https://www.academia.edu/Documents/in/Computer_Architecture">Computer Architecture</a><script data-card-contents-for-ri="433" type="text/json">{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36015809]'), work: {"id":36015809,"title":"A SURVEY ON DATA MINING IN STEEL INDUSTRIES","created_at":"2018-02-25T22:44:08.284-08:00","url":"https://www.academia.edu/36015809/A_SURVEY_ON_DATA_MINING_IN_STEEL_INDUSTRIES?f_ri=60650","dom_id":"work_36015809","summary":"In Industrial environments, huge amount of data is being generated which in turn collected indatabase anddata warehouses from all involved areas such as planning, process design, materials, assembly, production, quality, process control, scheduling, fault detection,shutdown, customer relation management, and so on. Data Mining has become auseful tool for knowledge acquisition for industrial process of Iron and steel making. Due to the rapid growth in Data Mining, various industries started using data mining technology to search the hidden patterns, which might further be used to the system with the new knowledge which might design new models to enhance the production quality, productivity optimum cost and maintenance etc. The continuous improvement of all steel production process regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of steel producer. Therefore, zero defect strategy is popular today and to maintain it several quality assurance techniques areused. The present report explains the methods of data mining and describes its application in the industrial environment and especially, in the steel industry.","downloadable_attachments":[{"id":55902558,"asset_id":36015809,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=60650","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false},{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=60650","nofollow":false},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=60650"},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650"},{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650"},{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=60650"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=60650"},{"id":5474,"name":"Real-time Systems","url":"https://www.academia.edu/Documents/in/Real-time_Systems?f_ri=60650"},{"id":13923,"name":"Computer Security","url":"https://www.academia.edu/Documents/in/Computer_Security?f_ri=60650"},{"id":26817,"name":"Algorithm","url":"https://www.academia.edu/Documents/in/Algorithm?f_ri=60650"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":45090,"name":"Database Management Systems","url":"https://www.academia.edu/Documents/in/Database_Management_Systems?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":80457,"name":"Real Time Embedded Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Embedded_Systems?f_ri=60650"},{"id":101171,"name":"Computer applications in architecture","url":"https://www.academia.edu/Documents/in/Computer_applications_in_architecture?f_ri=60650"},{"id":102883,"name":"Real Time Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Systems?f_ri=60650"},{"id":168642,"name":"Computer Architecture and Organisation","url":"https://www.academia.edu/Documents/in/Computer_Architecture_and_Organisation?f_ri=60650"},{"id":290593,"name":"Real Time Operating Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Operating_Systems?f_ri=60650"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70457442" data-work_id="70457442" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/70457442/Efficient_Compression_and_Storage_of_XML_OLAP_Cubes">Efficient Compression and Storage of XML OLAP Cubes</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70457442" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="da86691ce075fe82629c678059a28649" rel="nofollow" data-download="{"attachment_id":80202953,"asset_id":70457442,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80202953/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="146146234" href="https://independent.academia.edu/MohammedAminBouchoukh">Mohammed Amin Bouchoukh</a><script data-card-contents-for-user="146146234" type="text/json">{"id":146146234,"first_name":"Mohammed Amin","last_name":"Bouchoukh","domain_name":"independent","page_name":"MohammedAminBouchoukh","display_name":"Mohammed Amin Bouchoukh","profile_url":"https://independent.academia.edu/MohammedAminBouchoukh?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_70457442 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70457442"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70457442, container: ".js-paper-rank-work_70457442", }); });</script></li><li class="js-percentile-work_70457442 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70457442; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_70457442"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_70457442 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="70457442"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70457442; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70457442]").text(description); $(".js-view-count-work_70457442").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_70457442").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="70457442"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2070034" href="https://www.academia.edu/Documents/in/Data_Format">Data Format</a><script data-card-contents-for-ri="2070034" type="text/json">{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70457442]'), work: {"id":70457442,"title":"Efficient Compression and Storage of XML OLAP Cubes","created_at":"2022-02-04T13:59:10.089-08:00","url":"https://www.academia.edu/70457442/Efficient_Compression_and_Storage_of_XML_OLAP_Cubes?f_ri=60650","dom_id":"work_70457442","summary":null,"downloadable_attachments":[{"id":80202953,"asset_id":70457442,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":146146234,"first_name":"Mohammed Amin","last_name":"Bouchoukh","domain_name":"independent","page_name":"MohammedAminBouchoukh","display_name":"Mohammed Amin Bouchoukh","profile_url":"https://independent.academia.edu/MohammedAminBouchoukh?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_18621170" data-work_id="18621170" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/18621170/Publication_Details">Publication Details</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Publication Details</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/18621170" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="236be4e658d384e60763e9343a2c9a1d" rel="nofollow" data-download="{"attachment_id":40163285,"asset_id":18621170,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40163285/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15441401" href="https://velalarengg.academia.edu/SivarajRajappan">Sivaraj Rajappan</a><script data-card-contents-for-user="15441401" type="text/json">{"id":15441401,"first_name":"Sivaraj","last_name":"Rajappan","domain_name":"velalarengg","page_name":"SivarajRajappan","display_name":"Sivaraj Rajappan","profile_url":"https://velalarengg.academia.edu/SivarajRajappan?f_ri=60650","photo":"https://gravatar.com/avatar/d2478d7682a5bfc5b209fae58a5e0b1b?s=65"}</script></span></span></li><li class="js-paper-rank-work_18621170 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="18621170"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 18621170, container: ".js-paper-rank-work_18621170", }); });</script></li><li class="js-percentile-work_18621170 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18621170; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_18621170"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_18621170 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="18621170"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18621170; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18621170]").text(description); $(".js-view-count-work_18621170").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_18621170").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="18621170"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10924" href="https://www.academia.edu/Documents/in/Optimization_techniques">Optimization techniques</a>, <script data-card-contents-for-ri="10924" type="text/json">{"id":10924,"name":"Optimization techniques","url":"https://www.academia.edu/Documents/in/Optimization_techniques?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=18621170]'), work: {"id":18621170,"title":"Publication Details","created_at":"2015-11-18T21:42:13.317-08:00","url":"https://www.academia.edu/18621170/Publication_Details?f_ri=60650","dom_id":"work_18621170","summary":"Publication Details","downloadable_attachments":[{"id":40163285,"asset_id":18621170,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15441401,"first_name":"Sivaraj","last_name":"Rajappan","domain_name":"velalarengg","page_name":"SivarajRajappan","display_name":"Sivaraj Rajappan","profile_url":"https://velalarengg.academia.edu/SivarajRajappan?f_ri=60650","photo":"https://gravatar.com/avatar/d2478d7682a5bfc5b209fae58a5e0b1b?s=65"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":10924,"name":"Optimization techniques","url":"https://www.academia.edu/Documents/in/Optimization_techniques?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44660148 coauthored" data-work_id="44660148" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44660148/Analysis_of_Popular_Techniques_Used_in_Educational_Data_Mining">Analysis of Popular Techniques Used in Educational Data Mining</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The importance of data mining is increasing in education field as it can help both in the improvement of education system and in the growth of students by making predictions. Educational Data Mining (EDM) is a young interdisciplinary... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44660148" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The importance of data mining is increasing in education field as it can help both in the improvement of education<br />system and in the growth of students by making predictions. Educational Data Mining (EDM) is a young<br />interdisciplinary work field that helps to deal with the data related to educational perspective. Today, educational<br />institutions collect and archive massive quantities of data, such as students registration, attendance as well as<br />the exam results. Mining of this data helps the institutions to understand students behaviour and interests by<br />extracting all the useful information from the huge data available. Dierent data mining techniques are being used<br />for mining the data in educational eld. Now days, the Articial Intelligence and Machine Learning techniques are<br />more popular among the researchers to extract the information from the educational databases, as these provide<br />more reliable results as compared to other techniques. In this paper, many popular data mining techniques have<br />been reviewed that are being applied on the educational data to solve the different problems faced by the students<br />so as to improve the learning outcomes of the students</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44660148" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dea3f6b63d8c974aaf701e1f08bfd668" rel="nofollow" data-download="{"attachment_id":65132273,"asset_id":44660148,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65132273/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33023523" href="https://igu.academia.edu/SatinderBalGupta">Satinder Bal Gupta</a><script data-card-contents-for-user="33023523" type="text/json">{"id":33023523,"first_name":"Satinder Bal","last_name":"Gupta","domain_name":"igu","page_name":"SatinderBalGupta","display_name":"Satinder Bal Gupta","profile_url":"https://igu.academia.edu/SatinderBalGupta?f_ri=60650","photo":"https://0.academia-photos.com/33023523/9810896/10955764/s65_satinder_bal.gupta.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-44660148">+1</span><div class="hidden js-additional-users-44660148"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/shivanigupta325">shivani gupta</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-44660148'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-44660148').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_44660148 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44660148"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44660148, container: ".js-paper-rank-work_44660148", }); });</script></li><li class="js-percentile-work_44660148 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44660148; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_44660148"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_44660148 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="44660148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44660148; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44660148]").text(description); $(".js-view-count-work_44660148").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44660148").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44660148"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23995" href="https://www.academia.edu/Documents/in/Educational_Data_Mining">Educational Data Mining</a>, <script data-card-contents-for-ri="23995" type="text/json">{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="413148" href="https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining">Big Data / Analytics / Data Mining</a><script data-card-contents-for-ri="413148" type="text/json">{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44660148]'), work: {"id":44660148,"title":"Analysis of Popular Techniques Used in Educational Data Mining","created_at":"2020-12-08T04:09:22.693-08:00","url":"https://www.academia.edu/44660148/Analysis_of_Popular_Techniques_Used_in_Educational_Data_Mining?f_ri=60650","dom_id":"work_44660148","summary":"The importance of data mining is increasing in education \ffield as it can help both in the improvement of education\nsystem and in the growth of students by making predictions. Educational Data Mining (EDM) is a young\ninterdisciplinary work fi\feld that helps to deal with the data related to educational perspective. Today, educational\ninstitutions collect and archive massive quantities of data, such as students registration, attendance as well as\nthe exam results. Mining of this data helps the institutions to understand students behaviour and interests by\nextracting all the useful information from the huge data available. Di\u000berent data mining techniques are being used\nfor mining the data in educational \feld. Now days, the Arti\fcial Intelligence and Machine Learning techniques are\nmore popular among the researchers to extract the information from the educational databases, as these provide\nmore reliable results as compared to other techniques. In this paper, many popular data mining techniques have\nbeen reviewed that are being applied on the educational data to solve the different problems faced by the students\nso as to improve the learning outcomes of the students","downloadable_attachments":[{"id":65132273,"asset_id":44660148,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33023523,"first_name":"Satinder Bal","last_name":"Gupta","domain_name":"igu","page_name":"SatinderBalGupta","display_name":"Satinder Bal Gupta","profile_url":"https://igu.academia.edu/SatinderBalGupta?f_ri=60650","photo":"https://0.academia-photos.com/33023523/9810896/10955764/s65_satinder_bal.gupta.jpg"},{"id":160364792,"first_name":"shivani","last_name":"gupta","domain_name":"independent","page_name":"shivanigupta325","display_name":"shivani gupta","profile_url":"https://independent.academia.edu/shivanigupta325?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31006269" data-work_id="31006269" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31006269/A_BINARY_BAT_INSPIRED_ALGORITHM_FOR_THE_CLASSIFICATION_OF_BREAST_CANCER_DATA">A BINARY BAT INSPIRED ALGORITHM FOR THE CLASSIFICATION OF BREAST CANCER DATA</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31006269" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large number of people around the world. Diagnosing the disease at its earliest instance makes a huge impact on its treatment. The authors propose a Binary Bat Algorithm (BBA) based Feedforward Neural Network (FNN) hybrid model, where the advantages of BBA and efficiency of FNN is exploited for the classification of three benchmark breast cancer datasets into malignant and benign cases. Here BBA is used to generate a V-shaped hyperbolic tangent function for training the network and a fitness function is used for error minimization. FNNBBA based classification produces 92.61% accuracy for training data and 89.95% for testing data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31006269" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e2ee0cc09d46af541c7599dfc91678c4" rel="nofollow" data-download="{"attachment_id":59097855,"asset_id":31006269,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/59097855/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21109123" href="https://independent.academia.edu/ijscaijournal">International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)</a><script data-card-contents-for-user="21109123" type="text/json">{"id":21109123,"first_name":"International Journal on Soft Computing, Artificial Intelligence and Applications","last_name":"(IJSCAI)","domain_name":"independent","page_name":"ijscaijournal","display_name":"International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)","profile_url":"https://independent.academia.edu/ijscaijournal?f_ri=60650","photo":"https://0.academia-photos.com/21109123/9710763/110171411/s65_international_journal_on_soft_computing_artificial_intelligence_and_applications._ijscai_.jpg"}</script></span></span></li><li class="js-paper-rank-work_31006269 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31006269"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31006269, container: ".js-paper-rank-work_31006269", }); });</script></li><li class="js-percentile-work_31006269 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31006269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31006269"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31006269 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31006269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31006269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31006269]").text(description); $(".js-view-count-work_31006269").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31006269").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31006269"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1440" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1681" href="https://www.academia.edu/Documents/in/Decision_Making">Decision Making</a>, <script data-card-contents-for-ri="1681" type="text/json">{"id":1681,"name":"Decision Making","url":"https://www.academia.edu/Documents/in/Decision_Making?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31006269]'), work: {"id":31006269,"title":"A BINARY BAT INSPIRED ALGORITHM FOR THE CLASSIFICATION OF BREAST CANCER DATA","created_at":"2017-01-20T02:01:59.329-08:00","url":"https://www.academia.edu/31006269/A_BINARY_BAT_INSPIRED_ALGORITHM_FOR_THE_CLASSIFICATION_OF_BREAST_CANCER_DATA?f_ri=60650","dom_id":"work_31006269","summary":"Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large number of people around the world. Diagnosing the disease at its earliest instance makes a huge impact on its treatment. The authors propose a Binary Bat Algorithm (BBA) based Feedforward Neural Network (FNN) hybrid model, where the advantages of BBA and efficiency of FNN is exploited for the classification of three benchmark breast cancer datasets into malignant and benign cases. Here BBA is used to generate a V-shaped hyperbolic tangent function for training the network and a fitness function is used for error minimization. FNNBBA based classification produces 92.61% accuracy for training data and 89.95% for testing data.","downloadable_attachments":[{"id":59097855,"asset_id":31006269,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21109123,"first_name":"International Journal on Soft Computing, Artificial Intelligence and Applications","last_name":"(IJSCAI)","domain_name":"independent","page_name":"ijscaijournal","display_name":"International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)","profile_url":"https://independent.academia.edu/ijscaijournal?f_ri=60650","photo":"https://0.academia-photos.com/21109123/9710763/110171411/s65_international_journal_on_soft_computing_artificial_intelligence_and_applications._ijscai_.jpg"}],"research_interests":[{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=60650","nofollow":false},{"id":1681,"name":"Decision Making","url":"https://www.academia.edu/Documents/in/Decision_Making?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=60650","nofollow":false},{"id":5486,"name":"Clustering and Classification Methods","url":"https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods?f_ri=60650"},{"id":8210,"name":"Behavioral Decision Making","url":"https://www.academia.edu/Documents/in/Behavioral_Decision_Making?f_ri=60650"},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":93455,"name":"Infographics and data visualization","url":"https://www.academia.edu/Documents/in/Infographics_and_data_visualization?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=60650"},{"id":191248,"name":"Medical Data Mining using Soft Computing","url":"https://www.academia.edu/Documents/in/Medical_Data_Mining_using_Soft_Computing?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":721504,"name":"Medical Data Mining","url":"https://www.academia.edu/Documents/in/Medical_Data_Mining?f_ri=60650"},{"id":2618118,"name":"Binary Bat","url":"https://www.academia.edu/Documents/in/Binary_Bat?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75494570" data-work_id="75494570" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75494570/Integrating_Telecom_CDR_and_Customer_Data_from_Different_Operational_databases_and_Data_warehouses_into_a_Central_Data_Warehouse_for_Business_Analysis">Integrating Telecom CDR and Customer Data from Different Operational databases and Data warehouses into a Central Data Warehouse for Business Analysis</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75494570" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="54b7f83762f7bc0db2c88e294e841e8f" rel="nofollow" data-download="{"attachment_id":83241345,"asset_id":75494570,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83241345/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="44038961" href="https://caluniv.academia.edu/SharmisthaMandal">Sharmistha Mandal</a><script data-card-contents-for-user="44038961" type="text/json">{"id":44038961,"first_name":"Sharmistha","last_name":"Mandal","domain_name":"caluniv","page_name":"SharmisthaMandal","display_name":"Sharmistha Mandal","profile_url":"https://caluniv.academia.edu/SharmisthaMandal?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75494570 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75494570"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75494570, container: ".js-paper-rank-work_75494570", }); });</script></li><li class="js-percentile-work_75494570 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75494570; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75494570"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75494570 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75494570"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75494570; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75494570]").text(description); $(".js-view-count-work_75494570").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75494570").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75494570"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10924" href="https://www.academia.edu/Documents/in/Optimization_techniques">Optimization techniques</a>, <script data-card-contents-for-ri="10924" type="text/json">{"id":10924,"name":"Optimization techniques","url":"https://www.academia.edu/Documents/in/Optimization_techniques?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45871" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a><script data-card-contents-for-ri="45871" type="text/json">{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75494570]'), work: {"id":75494570,"title":"Integrating Telecom CDR and Customer Data from Different Operational databases and Data warehouses into a Central Data Warehouse for Business Analysis","created_at":"2022-04-05T00:10:11.743-07:00","url":"https://www.academia.edu/75494570/Integrating_Telecom_CDR_and_Customer_Data_from_Different_Operational_databases_and_Data_warehouses_into_a_Central_Data_Warehouse_for_Business_Analysis?f_ri=60650","dom_id":"work_75494570","summary":null,"downloadable_attachments":[{"id":83241345,"asset_id":75494570,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":44038961,"first_name":"Sharmistha","last_name":"Mandal","domain_name":"caluniv","page_name":"SharmisthaMandal","display_name":"Sharmistha Mandal","profile_url":"https://caluniv.academia.edu/SharmisthaMandal?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=60650","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":10924,"name":"Optimization techniques","url":"https://www.academia.edu/Documents/in/Optimization_techniques?f_ri=60650","nofollow":false},{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":311563,"name":"Warehouse","url":"https://www.academia.edu/Documents/in/Warehouse?f_ri=60650"},{"id":448599,"name":"Engineering Technology","url":"https://www.academia.edu/Documents/in/Engineering_Technology?f_ri=60650"},{"id":853685,"name":"Cloud Computing and Virtualization","url":"https://www.academia.edu/Documents/in/Cloud_Computing_and_Virtualization?f_ri=60650"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43695084" data-work_id="43695084" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43695084/International_Conference_on_Data_Science_and_Applications_DSA_2020_">International Conference on Data Science and Applications (DSA 2020)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">International Conference on Data Science and Applications (DSA 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Applications. It... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43695084" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">International Conference on Data Science and Applications (DSA 2020) will act as a major<br />forum for the presentation of innovative ideas, approaches, developments, and research<br />projects in the areas of Data Science and Applications. It will also serve to facilitate the<br />exchange of information between researchers and industry professionals to discuss the latest<br />issues and advancement in the area of Data Science & Applications</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43695084" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b3fa867730ece1990ec94b2b4cc5a481" rel="nofollow" data-download="{"attachment_id":64778458,"asset_id":43695084,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64778458/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16715850" href="https://independent.academia.edu/IJDKPJOURNAL">International Journal of Data Mining & Knowledge Management Process ( IJDKP )</a><script data-card-contents-for-user="16715850" type="text/json">{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}</script></span></span></li><li class="js-paper-rank-work_43695084 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43695084"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43695084, container: ".js-paper-rank-work_43695084", }); });</script></li><li class="js-percentile-work_43695084 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43695084; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43695084"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43695084 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43695084"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43695084; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43695084]").text(description); $(".js-view-count-work_43695084").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43695084").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43695084"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3419" href="https://www.academia.edu/Documents/in/Multimedia">Multimedia</a>, <script data-card-contents-for-ri="3419" type="text/json">{"id":3419,"name":"Multimedia","url":"https://www.academia.edu/Documents/in/Multimedia?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9351" href="https://www.academia.edu/Documents/in/Image_Analysis">Image Analysis</a>, <script data-card-contents-for-ri="9351" type="text/json">{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10601" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a><script data-card-contents-for-ri="10601" type="text/json">{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43695084]'), work: {"id":43695084,"title":"International Conference on Data Science and Applications (DSA 2020)","created_at":"2020-07-23T04:13:28.802-07:00","url":"https://www.academia.edu/43695084/International_Conference_on_Data_Science_and_Applications_DSA_2020_?f_ri=60650","dom_id":"work_43695084","summary":"International Conference on Data Science and Applications (DSA 2020) will act as a major\nforum for the presentation of innovative ideas, approaches, developments, and research\nprojects in the areas of Data Science and Applications. It will also serve to facilitate the\nexchange of information between researchers and industry professionals to discuss the latest\nissues and advancement in the area of Data Science \u0026 Applications","downloadable_attachments":[{"id":64778458,"asset_id":43695084,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":3419,"name":"Multimedia","url":"https://www.academia.edu/Documents/in/Multimedia?f_ri=60650","nofollow":false},{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=60650","nofollow":false},{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false},{"id":12512,"name":"Data Quality (Computer Science)","url":"https://www.academia.edu/Documents/in/Data_Quality_Computer_Science_?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":31774,"name":"Data sciences","url":"https://www.academia.edu/Documents/in/Data_sciences?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":39682,"name":"Graph Data Mining","url":"https://www.academia.edu/Documents/in/Graph_Data_Mining?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science?f_ri=60650"},{"id":86157,"name":"Graph Mining","url":"https://www.academia.edu/Documents/in/Graph_Mining?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":295755,"name":"Data Sciences for Complex Systems","url":"https://www.academia.edu/Documents/in/Data_Sciences_for_Complex_Systems?f_ri=60650"},{"id":319636,"name":"Data mining and Warehousing","url":"https://www.academia.edu/Documents/in/Data_mining_and_Warehousing?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":3050442,"name":"Data Processing and Computer Science","url":"https://www.academia.edu/Documents/in/Data_Processing_and_Computer_Science?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38561952" data-work_id="38561952" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38561952/Data_mining_approach_to_predicting_the_performance_of_first_year_student_in_a_university_using_the_admission_requirements">Data mining approach to predicting the performance of first year student in a university using the admission requirements</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_38561952" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and as a result excel at the university. University admission in Nigeria is typically based on cognitive entry characteristics of a student which is mostly academic , and may not necessarily translate to excellence once in the university. In this study, the relationship between the cognitive admission entry requirements and the academic performance of students in their first year, using their CGPA and class of degree was examined using six data mining algorithms in KNIME and Orange platforms. Maximum accuracies of 50.23% and 51.9% respectively were observed, and the results were verified using regression models, with R2 values of 0.207 and 0.232 recorded which indicate that students' performance in their first year is not fully explained by cognitive entry requirements.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38561952" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6181e161d6a5d148fff217ed0994294e" rel="nofollow" data-download="{"attachment_id":58634046,"asset_id":38561952,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58634046/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="18681046" href="https://ibadan.academia.edu/AderibigbeAdekitan">Aderibigbe Adekitan</a><script data-card-contents-for-user="18681046" type="text/json">{"id":18681046,"first_name":"Aderibigbe","last_name":"Adekitan","domain_name":"ibadan","page_name":"AderibigbeAdekitan","display_name":"Aderibigbe Adekitan","profile_url":"https://ibadan.academia.edu/AderibigbeAdekitan?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_38561952 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38561952"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38561952, container: ".js-paper-rank-work_38561952", }); });</script></li><li class="js-percentile-work_38561952 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38561952; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_38561952"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_38561952 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="38561952"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38561952; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38561952]").text(description); $(".js-view-count-work_38561952").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38561952").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38561952"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5109" href="https://www.academia.edu/Documents/in/Pattern_Recognition">Pattern Recognition</a>, <script data-card-contents-for-ri="5109" type="text/json">{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14008" href="https://www.academia.edu/Documents/in/Knowledge_Discovery_in_Databases">Knowledge Discovery in Databases</a>, <script data-card-contents-for-ri="14008" type="text/json">{"id":14008,"name":"Knowledge Discovery in Databases","url":"https://www.academia.edu/Documents/in/Knowledge_Discovery_in_Databases?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23995" href="https://www.academia.edu/Documents/in/Educational_Data_Mining">Educational Data Mining</a><script data-card-contents-for-ri="23995" type="text/json">{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38561952]'), work: {"id":38561952,"title":"Data mining approach to predicting the performance of first year student in a university using the admission requirements","created_at":"2019-03-16T02:16:14.950-07:00","url":"https://www.academia.edu/38561952/Data_mining_approach_to_predicting_the_performance_of_first_year_student_in_a_university_using_the_admission_requirements?f_ri=60650","dom_id":"work_38561952","summary":"The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and as a result excel at the university. University admission in Nigeria is typically based on cognitive entry characteristics of a student which is mostly academic , and may not necessarily translate to excellence once in the university. In this study, the relationship between the cognitive admission entry requirements and the academic performance of students in their first year, using their CGPA and class of degree was examined using six data mining algorithms in KNIME and Orange platforms. Maximum accuracies of 50.23% and 51.9% respectively were observed, and the results were verified using regression models, with R2 values of 0.207 and 0.232 recorded which indicate that students' performance in their first year is not fully explained by cognitive entry requirements.","downloadable_attachments":[{"id":58634046,"asset_id":38561952,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":18681046,"first_name":"Aderibigbe","last_name":"Adekitan","domain_name":"ibadan","page_name":"AderibigbeAdekitan","display_name":"Aderibigbe Adekitan","profile_url":"https://ibadan.academia.edu/AderibigbeAdekitan?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=60650","nofollow":false},{"id":14008,"name":"Knowledge Discovery in Databases","url":"https://www.academia.edu/Documents/in/Knowledge_Discovery_in_Databases?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false},{"id":30664,"name":"Pattern Recognition and Classification","url":"https://www.academia.edu/Documents/in/Pattern_Recognition_and_Classification?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":64642,"name":"Knowledge Discovery","url":"https://www.academia.edu/Documents/in/Knowledge_Discovery?f_ri=60650"},{"id":76424,"name":"Academic Performance","url":"https://www.academia.edu/Documents/in/Academic_Performance?f_ri=60650"},{"id":143038,"name":"Machine Learning and Pattern Recognition","url":"https://www.academia.edu/Documents/in/Machine_Learning_and_Pattern_Recognition?f_ri=60650"},{"id":254085,"name":"Data Mining and Knowledge Discovery","url":"https://www.academia.edu/Documents/in/Data_Mining_and_Knowledge_Discovery?f_ri=60650"},{"id":2047149,"name":"Nigerian university","url":"https://www.academia.edu/Documents/in/Nigerian_university?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49972250" data-work_id="49972250" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49972250/Analysis_of_Spam_Link_Detection_Algorithm_based_on_Hyperlinks">Analysis of Spam Link Detection Algorithm based on Hyperlinks</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Nowadays almost all people use search engine to find information on Web through various search engines. All search engine gives list of rank web pages based on the keywords, this search engine result also includes spam link. So, it become... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49972250" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Nowadays almost all people use search engine to find information on Web through various search engines. All search engine gives list of rank web pages based on the keywords, this search engine result also includes spam link. So, it become necessary to prevent the users to misguide by such spam-links, but it is very difficult to identify those spam links in search engine result. Spam pages are generally created by spammers to earn profit through Web. Spam pages are proposed to get higher page ranking score. This review paper has covered the comparison of some algorithms to detect spam link namely Multi Level Link Structure Analysis (MLSA), Web Spam Detection, Truncated Page Rank and Link Variable Trust Rank algorithms. Also covered detail study on MLSA as it is capable to do identify accurate Spam link based on its threshold value, and also it gives result of those link that has more degree of levels as it is able to perform on multi level makes it differ from other algorithms.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49972250" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8a6551bb9554af95e33d2bc74624e5fc" rel="nofollow" data-download="{"attachment_id":68130647,"asset_id":49972250,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68130647/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="54985072" href="https://independent.academia.edu/PratikChauhan6">Pratik Chauhan</a><script data-card-contents-for-user="54985072" type="text/json">{"id":54985072,"first_name":"Pratik","last_name":"Chauhan","domain_name":"independent","page_name":"PratikChauhan6","display_name":"Pratik Chauhan","profile_url":"https://independent.academia.edu/PratikChauhan6?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_49972250 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49972250"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49972250, container: ".js-paper-rank-work_49972250", }); });</script></li><li class="js-percentile-work_49972250 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49972250; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_49972250"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_49972250 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="49972250"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49972250; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49972250]").text(description); $(".js-view-count-work_49972250").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_49972250").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="49972250"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2070034" href="https://www.academia.edu/Documents/in/Data_Format">Data Format</a><script data-card-contents-for-ri="2070034" type="text/json">{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49972250]'), work: {"id":49972250,"title":"Analysis of Spam Link Detection Algorithm based on Hyperlinks","created_at":"2021-07-16T01:05:57.777-07:00","url":"https://www.academia.edu/49972250/Analysis_of_Spam_Link_Detection_Algorithm_based_on_Hyperlinks?f_ri=60650","dom_id":"work_49972250","summary":"Nowadays almost all people use search engine to find information on Web through various search engines. All search engine gives list of rank web pages based on the keywords, this search engine result also includes spam link. So, it become necessary to prevent the users to misguide by such spam-links, but it is very difficult to identify those spam links in search engine result. Spam pages are generally created by spammers to earn profit through Web. Spam pages are proposed to get higher page ranking score. This review paper has covered the comparison of some algorithms to detect spam link namely Multi Level Link Structure Analysis (MLSA), Web Spam Detection, Truncated Page Rank and Link Variable Trust Rank algorithms. Also covered detail study on MLSA as it is capable to do identify accurate Spam link based on its threshold value, and also it gives result of those link that has more degree of levels as it is able to perform on multi level makes it differ from other algorithms.","downloadable_attachments":[{"id":68130647,"asset_id":49972250,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":54985072,"first_name":"Pratik","last_name":"Chauhan","domain_name":"independent","page_name":"PratikChauhan6","display_name":"Pratik Chauhan","profile_url":"https://independent.academia.edu/PratikChauhan6?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_33269763" data-work_id="33269763" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/33269763/PREDIKSI_CHURN_DAN_SEGMENTASI_PELANGGAN_TV_BERLANGGANAN_STUDI_KASUS_TRANSVISION_JAWA_BARAT">PREDIKSI CHURN DAN SEGMENTASI PELANGGAN TV BERLANGGANAN (STUDI KASUS TRANSVISION JAWA BARAT</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Bisnis TV berlangganan merupakan salah satu bisnis masa depan bagi sebuah perusahaan yang memiliki bisnis inti telekomunikasi seperti Telkomvision. Pada akhir tahun 2011 jumlah pelanggan Telkomvision mencapai lebih dari satu juta... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_33269763" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Bisnis TV berlangganan merupakan salah satu bisnis masa depan bagi sebuah perusahaan yang memiliki bisnis inti telekomunikasi seperti Telkomvision. Pada akhir tahun 2011 jumlah pelanggan Telkomvision mencapai lebih dari satu juta pelanggan, namun demikian pada tahun 2012 menurunnya pendapatan per pelanggan TV berlangganan atau average revenue per user (ARPU) menjadi penyebab perusahaan ini mengalami kerugian. <br />Tingkat churn pelanggan yang tinggi harus diprediksi secara akurat, karena hasil prediksi yang akurat dapat menentukan strategi apa dan promosi bagaimana yang tepat untuk retensi pelanggan. Kemudian dilakukan segmentasi pelanggan untuk merumuskan program retensi yang tepat sesuai dengan kebutuhan pelanggan yang berpotensi churn tinggi.<br />Metode data mining digunakan untuk memprediksi potensi churn dan segementasinya pada pelanggan PT Indonusa Telemedia, dan dapat hal ini dapat mendukung proses monitoring, pengendalian, serta penyusunan strategi pada management. Metode Decision Tree dan Clustering merupakan metode data mining yang populer karena sangat mudah dipahami dan diinterpretasikan, sehingga dapat dengan mudah untuk digunakan sebagai teknik untuk melakukan prediksi churn dan segmentasinya.<br />Tujuan utama dari prediksi pelanggan churn adalah untuk memperoleh informasi dari pelanggan yang mempunyai potensi churn tinggi sehingga dapat disusun rencana strategis dan promo perusahaan yang tepat sesuai dengan segmentasinya.<br />Metode Decision Tree dengan pemodelan menggunakan algoritma C4.5 menghasilkan tingkat akurasi 90,89%. Kemudian pelanggan yang mempunyai potensi churn tinggi dilakukan clustering menggunakan algoritma K-Means dan dari 5956 total pelanggan dapat merekomendasikan 5792 pelanggan yang mendapatkan penawaran program retensi.<br /><br />Kata kunci : churn, segmentasi , data mining, decision tree, clustering, k-means</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/33269763" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8ec7bf8fc6d84d40750d2d1c531b7aca" rel="nofollow" data-download="{"attachment_id":53338466,"asset_id":33269763,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53338466/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38072488" href="https://independent.academia.edu/NanaSuryana59">Nana Suryana</a><script data-card-contents-for-user="38072488" type="text/json">{"id":38072488,"first_name":"Nana","last_name":"Suryana","domain_name":"independent","page_name":"NanaSuryana59","display_name":"Nana Suryana","profile_url":"https://independent.academia.edu/NanaSuryana59?f_ri=60650","photo":"https://0.academia-photos.com/38072488/10681889/11924940/s65_nana.suryana.jpg"}</script></span></span></li><li class="js-paper-rank-work_33269763 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="33269763"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 33269763, container: ".js-paper-rank-work_33269763", }); });</script></li><li class="js-percentile-work_33269763 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33269763; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_33269763"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_33269763 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="33269763"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33269763; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33269763]").text(description); $(".js-view-count-work_33269763").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_33269763").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="33269763"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="34344" href="https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_">Data mining (Data Analysis)</a>, <script data-card-contents-for-ri="34344" type="text/json">{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=33269763]'), work: {"id":33269763,"title":"PREDIKSI CHURN DAN SEGMENTASI PELANGGAN TV BERLANGGANAN (STUDI KASUS TRANSVISION JAWA BARAT","created_at":"2017-05-30T21:56:53.006-07:00","url":"https://www.academia.edu/33269763/PREDIKSI_CHURN_DAN_SEGMENTASI_PELANGGAN_TV_BERLANGGANAN_STUDI_KASUS_TRANSVISION_JAWA_BARAT?f_ri=60650","dom_id":"work_33269763","summary":"Bisnis TV berlangganan merupakan salah satu bisnis masa depan bagi sebuah perusahaan yang memiliki bisnis inti telekomunikasi seperti Telkomvision. Pada akhir tahun 2011 jumlah pelanggan Telkomvision mencapai lebih dari satu juta pelanggan, namun demikian pada tahun 2012 menurunnya pendapatan per pelanggan TV berlangganan atau average revenue per user (ARPU) menjadi penyebab perusahaan ini mengalami kerugian. \nTingkat churn pelanggan yang tinggi harus diprediksi secara akurat, karena hasil prediksi yang akurat dapat menentukan strategi apa dan promosi bagaimana yang tepat untuk retensi pelanggan. Kemudian dilakukan segmentasi pelanggan untuk merumuskan program retensi yang tepat sesuai dengan kebutuhan pelanggan yang berpotensi churn tinggi.\nMetode data mining digunakan untuk memprediksi potensi churn dan segementasinya pada pelanggan PT Indonusa Telemedia, dan dapat hal ini dapat mendukung proses monitoring, pengendalian, serta penyusunan strategi pada management. Metode Decision Tree dan Clustering merupakan metode data mining yang populer karena sangat mudah dipahami dan diinterpretasikan, sehingga dapat dengan mudah untuk digunakan sebagai teknik untuk melakukan prediksi churn dan segmentasinya.\nTujuan utama dari prediksi pelanggan churn adalah untuk memperoleh informasi dari pelanggan yang mempunyai potensi churn tinggi sehingga dapat disusun rencana strategis dan promo perusahaan yang tepat sesuai dengan segmentasinya.\nMetode Decision Tree dengan pemodelan menggunakan algoritma C4.5 menghasilkan tingkat akurasi 90,89%. Kemudian pelanggan yang mempunyai potensi churn tinggi dilakukan clustering menggunakan algoritma K-Means dan dari 5956 total pelanggan dapat merekomendasikan 5792 pelanggan yang mendapatkan penawaran program retensi.\n\nKata kunci : churn, segmentasi , data mining, decision tree, clustering, k-means","downloadable_attachments":[{"id":53338466,"asset_id":33269763,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38072488,"first_name":"Nana","last_name":"Suryana","domain_name":"independent","page_name":"NanaSuryana59","display_name":"Nana Suryana","profile_url":"https://independent.academia.edu/NanaSuryana59?f_ri=60650","photo":"https://0.academia-photos.com/38072488/10681889/11924940/s65_nana.suryana.jpg"}],"research_interests":[{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_41733525" data-work_id="41733525" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/41733525/Customers_Churn_Prediction_Model_Comprising_of_Clustering_and_Classification_An_Application_of_Improvised_Kmeans_Clustering_Algorithm_and_Non_Linear_Support_Vector_Machine_">Customers Churn Prediction Model Comprising of Clustering and Classification: An Application of Improvised Kmeans Clustering Algorithm and Non Linear Support Vector Machine</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Customer churn is a significant issue that is regularly related with the existence cycle of the business. At the point when the business is in a development period of its life cycle, deals are expanding exponentially and the quantity of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_41733525" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Customer churn is a significant issue that is regularly related with the existence cycle of the business. At the point when the business is in a development period of its life cycle, deals are expanding exponentially and the quantity of new clients to a great extent dwarfs the quantity of churners. On the other side, organizations in a develop period of in their life cycle, set their attention on lessening the rate of customer churn. This research work proposes an efficient computational intelligence model comprising of clustering achieved through improvised K-Means algorithm and classification achieved through Non Linear Support Vector Machine.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/41733525" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0b09209776d4212b17aa3e641304ee14" rel="nofollow" data-download="{"attachment_id":61897852,"asset_id":41733525,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61897852/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2902340" href="https://ijcsmc.academia.edu/IJCSMCJournal">IJCSMC Journal</a><script data-card-contents-for-user="2902340" type="text/json">{"id":2902340,"first_name":"IJCSMC","last_name":"Journal","domain_name":"ijcsmc","page_name":"IJCSMCJournal","display_name":"IJCSMC Journal","profile_url":"https://ijcsmc.academia.edu/IJCSMCJournal?f_ri=60650","photo":"https://0.academia-photos.com/2902340/955759/1197349/s65_ijcsmc.journal.jpg"}</script></span></span></li><li class="js-paper-rank-work_41733525 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="41733525"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 41733525, container: ".js-paper-rank-work_41733525", }); });</script></li><li class="js-percentile-work_41733525 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 41733525; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_41733525"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_41733525 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="41733525"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 41733525; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=41733525]").text(description); $(".js-view-count-work_41733525").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_41733525").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="41733525"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="300" href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a>, <script data-card-contents-for-ri="300" type="text/json">{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="491" href="https://www.academia.edu/Documents/in/Information_Technology">Information Technology</a><script data-card-contents-for-ri="491" type="text/json">{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=41733525]'), work: {"id":41733525,"title":"Customers Churn Prediction Model Comprising of Clustering and Classification: An Application of Improvised Kmeans Clustering Algorithm and Non Linear Support Vector Machine","created_at":"2020-01-25T05:15:02.442-08:00","url":"https://www.academia.edu/41733525/Customers_Churn_Prediction_Model_Comprising_of_Clustering_and_Classification_An_Application_of_Improvised_Kmeans_Clustering_Algorithm_and_Non_Linear_Support_Vector_Machine_?f_ri=60650","dom_id":"work_41733525","summary":"Customer churn is a significant issue that is regularly related with the existence cycle of the business. At the point when the business is in a development period of its life cycle, deals are expanding exponentially and the quantity of new clients to a great extent dwarfs the quantity of churners. On the other side, organizations in a develop period of in their life cycle, set their attention on lessening the rate of customer churn. This research work proposes an efficient computational intelligence model comprising of clustering achieved through improvised K-Means algorithm and classification achieved through Non Linear Support Vector Machine.","downloadable_attachments":[{"id":61897852,"asset_id":41733525,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2902340,"first_name":"IJCSMC","last_name":"Journal","domain_name":"ijcsmc","page_name":"IJCSMCJournal","display_name":"IJCSMC Journal","profile_url":"https://ijcsmc.academia.edu/IJCSMCJournal?f_ri=60650","photo":"https://0.academia-photos.com/2902340/955759/1197349/s65_ijcsmc.journal.jpg"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics?f_ri=60650","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=60650","nofollow":false},{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=60650"},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=60650"},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650"},{"id":5486,"name":"Clustering and Classification Methods","url":"https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods?f_ri=60650"},{"id":13143,"name":"Clustering Algorithms","url":"https://www.academia.edu/Documents/in/Clustering_Algorithms?f_ri=60650"},{"id":27305,"name":"Computational Mathematics","url":"https://www.academia.edu/Documents/in/Computational_Mathematics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":51449,"name":"K-means","url":"https://www.academia.edu/Documents/in/K-means?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":84990,"name":"Clustering","url":"https://www.academia.edu/Documents/in/Clustering?f_ri=60650"},{"id":328538,"name":"Computer Science And Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_And_Engineering?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":798200,"name":"K means algorithm","url":"https://www.academia.edu/Documents/in/K_means_algorithm?f_ri=60650"},{"id":1032324,"name":"K means Clustering","url":"https://www.academia.edu/Documents/in/K_means_Clustering?f_ri=60650"},{"id":1226904,"name":"Computer Science and Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Engineering-1?f_ri=60650"},{"id":1556799,"name":"Customer Churn Preditcion","url":"https://www.academia.edu/Documents/in/Customer_Churn_Preditcion?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29721210" data-work_id="29721210" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29721210/Data_Warehousing_dan_OLAP_1">Data Warehousing dan OLAP 1</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Materi ini bukan saya yang membuat saya hanya membantu pembaca untuk mempermudah mencari materi.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29721210" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fe558f1df86fee735bd5f483f8af934b" rel="nofollow" data-download="{"attachment_id":50172791,"asset_id":29721210,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50172791/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21862863" href="https://independent.academia.edu/indrayanto3">Indra Yanto</a><script data-card-contents-for-user="21862863" type="text/json">{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}</script></span></span></li><li class="js-paper-rank-work_29721210 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29721210"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29721210, container: ".js-paper-rank-work_29721210", }); });</script></li><li class="js-percentile-work_29721210 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29721210; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_29721210"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_29721210 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="29721210"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29721210; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29721210]").text(description); $(".js-view-count-work_29721210").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_29721210").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="29721210"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56664" href="https://www.academia.edu/Documents/in/DWDM">DWDM</a>, <script data-card-contents-for-ri="56664" type="text/json">{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29721210]'), work: {"id":29721210,"title":"Data Warehousing dan OLAP 1","created_at":"2016-11-07T14:45:07.004-08:00","url":"https://www.academia.edu/29721210/Data_Warehousing_dan_OLAP_1?f_ri=60650","dom_id":"work_29721210","summary":"Materi ini bukan saya yang membuat saya hanya membantu pembaca untuk mempermudah mencari materi.","downloadable_attachments":[{"id":50172791,"asset_id":29721210,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38241914" data-work_id="38241914" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38241914/TOP_DOWNLOADED_PAPERS_International_Journal_of_Computer_Aided_technologies_IJCAx_">TOP DOWNLOADED PAPERS - International Journal of Computer-Aided technologies (IJCAx)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_38241914" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx)  is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Aided technologies such as CAD, CAM, CAIM,CAR, CARD, CASE etc. The journal focuses on all technical and practical aspects of Computer Aided technologies. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced CAx tools and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in all Computer Aided technologies</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38241914" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d140ed54458e91efb2b41bfb40084ede" rel="nofollow" data-download="{"attachment_id":58283596,"asset_id":38241914,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58283596/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="86974900" href="https://independent.academia.edu/InternationalJournalofComputerAidedtechnologiesIJCAx">International Journal of Computer-Aided technologies (IJCAx)</a><script data-card-contents-for-user="86974900" type="text/json">{"id":86974900,"first_name":"International Journal of Computer-Aided technologies","last_name":"(IJCAx)","domain_name":"independent","page_name":"InternationalJournalofComputerAidedtechnologiesIJCAx","display_name":"International Journal of Computer-Aided technologies (IJCAx)","profile_url":"https://independent.academia.edu/InternationalJournalofComputerAidedtechnologiesIJCAx?f_ri=60650","photo":"https://0.academia-photos.com/86974900/20109798/74507170/s65_international_journal_of_computer-aided_technologies._ijcax_.jpg"}</script></span></span></li><li class="js-paper-rank-work_38241914 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38241914"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38241914, container: ".js-paper-rank-work_38241914", }); });</script></li><li class="js-percentile-work_38241914 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38241914; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_38241914"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_38241914 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="38241914"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38241914; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38241914]").text(description); $(".js-view-count-work_38241914").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38241914").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38241914"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23995" href="https://www.academia.edu/Documents/in/Educational_Data_Mining">Educational Data Mining</a>, <script data-card-contents-for-ri="23995" type="text/json">{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="34344" href="https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_">Data mining (Data Analysis)</a>, <script data-card-contents-for-ri="34344" type="text/json">{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="39693" href="https://www.academia.edu/Documents/in/Distributed_Data_Mining">Distributed Data Mining</a><script data-card-contents-for-ri="39693" type="text/json">{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38241914]'), work: {"id":38241914,"title":"TOP DOWNLOADED PAPERS - International Journal of Computer-Aided technologies (IJCAx)","created_at":"2019-01-29T00:56:45.147-08:00","url":"https://www.academia.edu/38241914/TOP_DOWNLOADED_PAPERS_International_Journal_of_Computer_Aided_technologies_IJCAx_?f_ri=60650","dom_id":"work_38241914","summary":"Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Aided technologies such as CAD, CAM, CAIM,CAR, CARD, CASE etc. The journal focuses on all technical and practical aspects of Computer Aided technologies. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced CAx tools and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in all Computer Aided technologies","downloadable_attachments":[{"id":58283596,"asset_id":38241914,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":86974900,"first_name":"International Journal of Computer-Aided technologies","last_name":"(IJCAx)","domain_name":"independent","page_name":"InternationalJournalofComputerAidedtechnologiesIJCAx","display_name":"International Journal of Computer-Aided technologies (IJCAx)","profile_url":"https://independent.academia.edu/InternationalJournalofComputerAidedtechnologiesIJCAx?f_ri=60650","photo":"https://0.academia-photos.com/86974900/20109798/74507170/s65_international_journal_of_computer-aided_technologies._ijcax_.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":65933,"name":"Product Lifecycle Management","url":"https://www.academia.edu/Documents/in/Product_Lifecycle_Management?f_ri=60650"},{"id":194595,"name":"Product Data Management","url":"https://www.academia.edu/Documents/in/Product_Data_Management?f_ri=60650"},{"id":274040,"name":"PLM, Product Lifecycle Management","url":"https://www.academia.edu/Documents/in/PLM_Product_Lifecycle_Management?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":539523,"name":"Application Lifecycle Management, Continuous Delivery Management Systems","url":"https://www.academia.edu/Documents/in/Application_Lifecycle_Management_Continuous_Delivery_Management_Systems?f_ri=60650"},{"id":688981,"name":"Engineering Asset Lifecycle Management","url":"https://www.academia.edu/Documents/in/Engineering_Asset_Lifecycle_Management?f_ri=60650"},{"id":1834726,"name":"Computer Aided Design / Manufacturing / Engineering (CAD-CAM-CAE)  Product Data Management / Product Lifecycle Management (PDM/PLM)  Lean Production (Kaizen, 5S, Six sigma) Rapid Prototyping / Manufacturing (3D printing)","url":"https://www.academia.edu/Documents/in/Computer_Aided_Design_Manufacturing_Engineering_CAD-CAM-CAE_Product_Data_Management_Produ?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6864795" data-work_id="6864795" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6864795/Corporate_and_Government_Control_of_the_Internet_The_Power_of_Few_against_the_free_flow_of_information_for_all">Corporate & Government Control of the Internet The Power of Few against the free flow of information for all</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Internet may be free, but service provider’s indispensable to access services are not, to the extent that while the complexity and burden of the sites increases, it is becoming more and more expensive to surf the net. Blocking access... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6864795" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Internet may be free, but service provider’s indispensable to access services are not, to the extent that while the complexity and burden of the sites increases, it is becoming more and more expensive to surf the net. Blocking access under the guise of protecting us from offensive or sexually explicit content, to pages, chat rooms, newsgroups and other Web options is not anymore an excuse, but a lie. Government surveillance in the Internet, uncontrolled practices of data harvesting and restriction of free speech, open discussion of issues and even political activism has spread in the last 20 years to include countries that are considered democracies such as the U.S. Internet has become a battleground of power and therefore become increasingly militarized.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6864795" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="90741c3c52e2c20e94d9de07f2b0bc99" rel="nofollow" data-download="{"attachment_id":33553722,"asset_id":6864795,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33553722/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1181534" href="https://barry.academia.edu/PedroGonz%C3%A1lezJrMJMACPhD">Dr. Pedro A González Jr MJ MAC</a><script data-card-contents-for-user="1181534" type="text/json">{"id":1181534,"first_name":"Dr. Pedro","last_name":"González Jr MJ MAC","domain_name":"barry","page_name":"PedroGonzálezJrMJMACPhD","display_name":"Dr. Pedro A González Jr MJ MAC","profile_url":"https://barry.academia.edu/PedroGonz%C3%A1lezJrMJMACPhD?f_ri=60650","photo":"https://0.academia-photos.com/1181534/421037/26303716/s65_pedro.gonz_lez_jr_mj_mac_phdc.jpg"}</script></span></span></li><li class="js-paper-rank-work_6864795 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6864795"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6864795, container: ".js-paper-rank-work_6864795", }); });</script></li><li class="js-percentile-work_6864795 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 6864795; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6864795"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6864795 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6864795"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6864795; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6864795]").text(description); $(".js-view-count-work_6864795").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6864795").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6864795"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">67</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="966" href="https://www.academia.edu/Documents/in/Censorship">Censorship</a>, <script data-card-contents-for-ri="966" type="text/json">{"id":966,"name":"Censorship","url":"https://www.academia.edu/Documents/in/Censorship?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="984" href="https://www.academia.edu/Documents/in/Web_2.0">Web 2.0</a>, <script data-card-contents-for-ri="984" type="text/json">{"id":984,"name":"Web 2.0","url":"https://www.academia.edu/Documents/in/Web_2.0?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1759" href="https://www.academia.edu/Documents/in/Internet_Studies">Internet Studies</a>, <script data-card-contents-for-ri="1759" type="text/json">{"id":1759,"name":"Internet Studies","url":"https://www.academia.edu/Documents/in/Internet_Studies?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a><script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6864795]'), work: {"id":6864795,"title":"Corporate \u0026 Government Control of the Internet The Power of Few against the free flow of information for all","created_at":"2014-04-24T21:11:02.218-07:00","url":"https://www.academia.edu/6864795/Corporate_and_Government_Control_of_the_Internet_The_Power_of_Few_against_the_free_flow_of_information_for_all?f_ri=60650","dom_id":"work_6864795","summary":"The Internet may be free, but service provider’s indispensable to access services are not, to the extent that while the complexity and burden of the sites increases, it is becoming more and more expensive to surf the net. Blocking access under the guise of protecting us from offensive or sexually explicit content, to pages, chat rooms, newsgroups and other Web options is not anymore an excuse, but a lie. Government surveillance in the Internet, uncontrolled practices of data harvesting and restriction of free speech, open discussion of issues and even political activism has spread in the last 20 years to include countries that are considered democracies such as the U.S. Internet has become a battleground of power and therefore become increasingly militarized.","downloadable_attachments":[{"id":33553722,"asset_id":6864795,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1181534,"first_name":"Dr. Pedro","last_name":"González Jr MJ MAC","domain_name":"barry","page_name":"PedroGonzálezJrMJMACPhD","display_name":"Dr. Pedro A González Jr MJ MAC","profile_url":"https://barry.academia.edu/PedroGonz%C3%A1lezJrMJMACPhD?f_ri=60650","photo":"https://0.academia-photos.com/1181534/421037/26303716/s65_pedro.gonz_lez_jr_mj_mac_phdc.jpg"}],"research_interests":[{"id":966,"name":"Censorship","url":"https://www.academia.edu/Documents/in/Censorship?f_ri=60650","nofollow":false},{"id":984,"name":"Web 2.0","url":"https://www.academia.edu/Documents/in/Web_2.0?f_ri=60650","nofollow":false},{"id":1759,"name":"Internet Studies","url":"https://www.academia.edu/Documents/in/Internet_Studies?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":3201,"name":"The Social Web","url":"https://www.academia.edu/Documents/in/The_Social_Web?f_ri=60650"},{"id":4278,"name":"Web Mining","url":"https://www.academia.edu/Documents/in/Web_Mining?f_ri=60650"},{"id":7074,"name":"Internet Law","url":"https://www.academia.edu/Documents/in/Internet_Law?f_ri=60650"},{"id":7822,"name":"Internet Governance","url":"https://www.academia.edu/Documents/in/Internet_Governance?f_ri=60650"},{"id":8130,"name":"Web Development","url":"https://www.academia.edu/Documents/in/Web_Development?f_ri=60650"},{"id":9246,"name":"Social Media","url":"https://www.academia.edu/Documents/in/Social_Media?f_ri=60650"},{"id":9253,"name":"Internet research","url":"https://www.academia.edu/Documents/in/Internet_research?f_ri=60650"},{"id":9544,"name":"Internet Security","url":"https://www.academia.edu/Documents/in/Internet_Security?f_ri=60650"},{"id":10058,"name":"Cyberspace Regulation","url":"https://www.academia.edu/Documents/in/Cyberspace_Regulation?f_ri=60650"},{"id":10188,"name":"Free Speech","url":"https://www.academia.edu/Documents/in/Free_Speech?f_ri=60650"},{"id":10472,"name":"Web Applications","url":"https://www.academia.edu/Documents/in/Web_Applications?f_ri=60650"},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650"},{"id":15426,"name":"Spatial Data Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Spatial_Data_Mining_Data_Mining_?f_ri=60650"},{"id":16416,"name":"Internet \u0026 Society","url":"https://www.academia.edu/Documents/in/Internet_and_Society?f_ri=60650"},{"id":20479,"name":"Internet Culture","url":"https://www.academia.edu/Documents/in/Internet_Culture?f_ri=60650"},{"id":24718,"name":"Internet Communication","url":"https://www.academia.edu/Documents/in/Internet_Communication?f_ri=60650"},{"id":24842,"name":"Future Internet","url":"https://www.academia.edu/Documents/in/Future_Internet?f_ri=60650"},{"id":25943,"name":"Language, Mobile Communication and Cyberspace","url":"https://www.academia.edu/Documents/in/Language_Mobile_Communication_and_Cyberspace?f_ri=60650"},{"id":30945,"name":"Cyberspace","url":"https://www.academia.edu/Documents/in/Cyberspace?f_ri=60650"},{"id":30947,"name":"The Internet","url":"https://www.academia.edu/Documents/in/The_Internet?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34332,"name":"Freedom of Speech","url":"https://www.academia.edu/Documents/in/Freedom_of_Speech?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":59002,"name":"Comunicação Social","url":"https://www.academia.edu/Documents/in/Comunica%C3%A7%C3%A3o_Social?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":85696,"name":"Censura","url":"https://www.academia.edu/Documents/in/Censura?f_ri=60650"},{"id":93855,"name":"Redes Sociais","url":"https://www.academia.edu/Documents/in/Redes_Sociais?f_ri=60650"},{"id":102294,"name":"Wiki","url":"https://www.academia.edu/Documents/in/Wiki?f_ri=60650"},{"id":105423,"name":"Personalization, Data Minig, Web Usage Mining","url":"https://www.academia.edu/Documents/in/Personalization_Data_Minig_Web_Usage_Mining?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":110161,"name":"Marketing Digital","url":"https://www.academia.edu/Documents/in/Marketing_Digital?f_ri=60650"},{"id":120990,"name":"Self-Censorship","url":"https://www.academia.edu/Documents/in/Self-Censorship?f_ri=60650"},{"id":125482,"name":"Assessoria de Governo","url":"https://www.academia.edu/Documents/in/Assessoria_de_Governo?f_ri=60650"},{"id":139566,"name":"Internet censorship","url":"https://www.academia.edu/Documents/in/Internet_censorship?f_ri=60650"},{"id":140804,"name":"Freedom in Political Speech","url":"https://www.academia.edu/Documents/in/Freedom_in_Political_Speech?f_ri=60650"},{"id":141114,"name":"World Wide Web","url":"https://www.academia.edu/Documents/in/World_Wide_Web?f_ri=60650"},{"id":154197,"name":"Censorship on Internet","url":"https://www.academia.edu/Documents/in/Censorship_on_Internet?f_ri=60650"},{"id":175543,"name":"Geography and geopolitics of cyberspace","url":"https://www.academia.edu/Documents/in/Geography_and_geopolitics_of_cyberspace?f_ri=60650"},{"id":231268,"name":"Freedom of Speech and Expression","url":"https://www.academia.edu/Documents/in/Freedom_of_Speech_and_Expression?f_ri=60650"},{"id":242668,"name":"Direct Censorship","url":"https://www.academia.edu/Documents/in/Direct_Censorship?f_ri=60650"},{"id":264933,"name":"Journalism and Censorship","url":"https://www.academia.edu/Documents/in/Journalism_and_Censorship?f_ri=60650"},{"id":389808,"name":"Using Social Media for hate spech is not freedom of speech!","url":"https://www.academia.edu/Documents/in/Using_Social_Media_for_hate_spech_is_not_freedom_of_speech_?f_ri=60650"},{"id":406859,"name":"Social Media \u0026 Internet Psychology","url":"https://www.academia.edu/Documents/in/Social_Media_and_Internet_Psychology?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":460675,"name":"Data Mining Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Techniques?f_ri=60650"},{"id":559844,"name":"Cyberspace Operations","url":"https://www.academia.edu/Documents/in/Cyberspace_Operations?f_ri=60650"},{"id":574715,"name":"Media Censorship","url":"https://www.academia.edu/Documents/in/Media_Censorship?f_ri=60650"},{"id":607345,"name":"Authoritarian communication, self censorship","url":"https://www.academia.edu/Documents/in/Authoritarian_communication_self_censorship?f_ri=60650"},{"id":661307,"name":"Censura a Los Medios","url":"https://www.academia.edu/Documents/in/Censura_a_Los_Medios?f_ri=60650"},{"id":688514,"name":"Internet‎","url":"https://www.academia.edu/Documents/in/Internet_?f_ri=60650"},{"id":760712,"name":"Free Speech - Comparison Between United States and Europe","url":"https://www.academia.edu/Documents/in/Free_Speech_-_Comparison_Between_United_States_and_Europe?f_ri=60650"},{"id":791062,"name":"Geolocalização","url":"https://www.academia.edu/Documents/in/Geolocalizacao?f_ri=60650"},{"id":853369,"name":"Should freedom of speech be limited","url":"https://www.academia.edu/Documents/in/Should_freedom_of_speech_be_limited?f_ri=60650"},{"id":867523,"name":"FREEDOM OF SPEECH AND ROLE OF MEDIA","url":"https://www.academia.edu/Documents/in/FREEDOM_OF_SPEECH_AND_ROLE_OF_MEDIA?f_ri=60650"},{"id":901606,"name":"Censorship and Self-censorship","url":"https://www.academia.edu/Documents/in/Censorship_and_Self-censorship?f_ri=60650"},{"id":957446,"name":"Cyberspace Ethnography","url":"https://www.academia.edu/Documents/in/Cyberspace_Ethnography?f_ri=60650"},{"id":958242,"name":"Self censorship","url":"https://www.academia.edu/Documents/in/Self_censorship?f_ri=60650"},{"id":964528,"name":"Comunicação Governamental","url":"https://www.academia.edu/Documents/in/Comunicacao_Governamental?f_ri=60650"},{"id":964530,"name":"Marketing Político Mídias Digitais","url":"https://www.academia.edu/Documents/in/Marketing_Politico_Midias_Digitais?f_ri=60650"},{"id":1005667,"name":"Freedom of Speech and Press","url":"https://www.academia.edu/Documents/in/Freedom_of_Speech_and_Press?f_ri=60650"},{"id":1123448,"name":"Free Speech Under Assault","url":"https://www.academia.edu/Documents/in/Free_Speech_Under_Assault?f_ri=60650"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=60650"},{"id":1228644,"name":"Social Media and Freedom of Speech and Expression","url":"https://www.academia.edu/Documents/in/Social_Media_and_Freedom_of_Speech_and_Expression?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43855091" data-work_id="43855091" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43855091/Top_Data_Mining_and_Knowledge_Management_Research_articles_of_2019">Top Data Mining & Knowledge Management Research articles of 2019</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43855091" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43855091" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9af6e1b08999c04ed2864674ae4755cf" rel="nofollow" data-download="{"attachment_id":64178374,"asset_id":43855091,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64178374/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16715850" href="https://independent.academia.edu/IJDKPJOURNAL">International Journal of Data Mining & Knowledge Management Process ( IJDKP )</a><script data-card-contents-for-user="16715850" type="text/json">{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}</script></span></span></li><li class="js-paper-rank-work_43855091 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43855091"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43855091, container: ".js-paper-rank-work_43855091", }); });</script></li><li class="js-percentile-work_43855091 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43855091; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43855091"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43855091 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43855091"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43855091; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43855091]").text(description); $(".js-view-count-work_43855091").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43855091").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43855091"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="965" href="https://www.academia.edu/Documents/in/Formal_Concept_Analysis_Data_Mining_">Formal Concept Analysis (Data Mining)</a>, <script data-card-contents-for-ri="965" type="text/json">{"id":965,"name":"Formal Concept Analysis (Data Mining)","url":"https://www.academia.edu/Documents/in/Formal_Concept_Analysis_Data_Mining_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a><script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43855091]'), work: {"id":43855091,"title":"Top Data Mining \u0026 Knowledge Management Research articles of 2019","created_at":"2020-08-14T01:12:50.161-07:00","url":"https://www.academia.edu/43855091/Top_Data_Mining_and_Knowledge_Management_Research_articles_of_2019?f_ri=60650","dom_id":"work_43855091","summary":"Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data","downloadable_attachments":[{"id":64178374,"asset_id":43855091,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false},{"id":965,"name":"Formal Concept Analysis (Data Mining)","url":"https://www.academia.edu/Documents/in/Formal_Concept_Analysis_Data_Mining_?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":5639,"name":"Text Mining","url":"https://www.academia.edu/Documents/in/Text_Mining?f_ri=60650"},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650"},{"id":20279,"name":"Seismic data processing","url":"https://www.academia.edu/Documents/in/Seismic_data_processing?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":60159,"name":"Database Management Systems and Querry Processing","url":"https://www.academia.edu/Documents/in/Database_Management_Systems_and_Querry_Processing?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":459269,"name":"Data mining and Text mining","url":"https://www.academia.edu/Documents/in/Data_mining_and_Text_mining?f_ri=60650"},{"id":460675,"name":"Data Mining Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Techniques?f_ri=60650"},{"id":581652,"name":"Data Processing","url":"https://www.academia.edu/Documents/in/Data_Processing?f_ri=60650"},{"id":994859,"name":"Data Mining and Business Intelligence","url":"https://www.academia.edu/Documents/in/Data_Mining_and_Business_Intelligence?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75616348" data-work_id="75616348" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75616348/Call_for_Papers_7th_International_Conference_on_Data_Mining_and_Knowledge_Management_DaKM_2022_">Call for Papers - 7th International Conference on Data Mining & Knowledge Management (DaKM 2022)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">7th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75616348" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">7th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides<br />a forum for researchers who address this issue and to present their work in a peer-reviewed forum.<br />Authors are solicited to contribute to the conference by submitting articles that illustrate research<br />results, projects, surveying works and industrial experiences that describe significant advances in the<br />following areas, but are not limited to these topics only.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75616348" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6be4c64c1802a8c9de139206ec21f5ab" rel="nofollow" data-download="{"attachment_id":88208270,"asset_id":75616348,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/88208270/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21252910" href="https://independent.academia.edu/ACIJJournal">Advanced Computing: An International Journal ( ACIJ )</a><script data-card-contents-for-user="21252910" type="text/json">{"id":21252910,"first_name":"Advanced Computing: An International Journal","last_name":"( ACIJ )","domain_name":"independent","page_name":"ACIJJournal","display_name":"Advanced Computing: An International Journal ( ACIJ )","profile_url":"https://independent.academia.edu/ACIJJournal?f_ri=60650","photo":"https://0.academia-photos.com/21252910/5871420/60189180/s65_advanced_computing_an_international_journal._acij_.jpg"}</script></span></span></li><li class="js-paper-rank-work_75616348 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75616348"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75616348, container: ".js-paper-rank-work_75616348", }); });</script></li><li class="js-percentile-work_75616348 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75616348; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75616348"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75616348 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75616348"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75616348; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75616348]").text(description); $(".js-view-count-work_75616348").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75616348").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75616348"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="442" href="https://www.academia.edu/Documents/in/Parallel_Computing">Parallel Computing</a>, <script data-card-contents-for-ri="442" type="text/json">{"id":442,"name":"Parallel Computing","url":"https://www.academia.edu/Documents/in/Parallel_Computing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9351" href="https://www.academia.edu/Documents/in/Image_Analysis">Image Analysis</a>, <script data-card-contents-for-ri="9351" type="text/json">{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14494" href="https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_">Opinion Mining (Data Mining)</a><script data-card-contents-for-ri="14494" type="text/json">{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75616348]'), work: {"id":75616348,"title":"Call for Papers - 7th International Conference on Data Mining \u0026 Knowledge Management (DaKM 2022)","created_at":"2022-04-06T03:57:44.592-07:00","url":"https://www.academia.edu/75616348/Call_for_Papers_7th_International_Conference_on_Data_Mining_and_Knowledge_Management_DaKM_2022_?f_ri=60650","dom_id":"work_75616348","summary":"7th International Conference on Data Mining \u0026 Knowledge Management (DaKM 2022) provides\na forum for researchers who address this issue and to present their work in a peer-reviewed forum.\nAuthors are solicited to contribute to the conference by submitting articles that illustrate research\nresults, projects, surveying works and industrial experiences that describe significant advances in the\nfollowing areas, but are not limited to these topics only.","downloadable_attachments":[{"id":88208270,"asset_id":75616348,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21252910,"first_name":"Advanced Computing: An International Journal","last_name":"( ACIJ )","domain_name":"independent","page_name":"ACIJJournal","display_name":"Advanced Computing: An International Journal ( ACIJ )","profile_url":"https://independent.academia.edu/ACIJJournal?f_ri=60650","photo":"https://0.academia-photos.com/21252910/5871420/60189180/s65_advanced_computing_an_international_journal._acij_.jpg"}],"research_interests":[{"id":442,"name":"Parallel Computing","url":"https://www.academia.edu/Documents/in/Parallel_Computing?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=60650","nofollow":false},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":93179,"name":"Data Stream Mining","url":"https://www.academia.edu/Documents/in/Data_Stream_Mining?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":460675,"name":"Data Mining Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Techniques?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35961969" data-work_id="35961969" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35961969/DATA_WAREHOUSING_AND_BUSINESS_INTELLIGENCE_COURSEWORK_2">DATA WAREHOUSING AND BUSINESS INTELLIGENCE COURSEWORK 2</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This work is based on the dataset acquired from a direct marketing campaign conducted by a Portuguese banking institution through phone calls where each customers was often contacted through more than one means of communication. The... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35961969" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This work is based on the dataset acquired from a direct marketing campaign conducted by a Portuguese banking institution through phone calls where each customers was often contacted through more than one means of communication. The effect of marketing campaigns on the general public has declined due to economic pressures, competition, and the increase of marketing campaigns over time. The goal of this paper is to augment the campaign by using Business Intelligence and Data Mining techniques to find a model that would increase the campaigns efficacy by selecting a more explicit set of potential customers who would most likely subscribe to the banks term deposit contract, based on the data set.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35961969" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1c8866de957a1c6271a3abafdcf3d90e" rel="nofollow" data-download="{"attachment_id":55844932,"asset_id":35961969,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55844932/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="60306516" href="https://mdx.academia.edu/SamTomashi">Sam Tomashi</a><script data-card-contents-for-user="60306516" type="text/json">{"id":60306516,"first_name":"Sam","last_name":"Tomashi","domain_name":"mdx","page_name":"SamTomashi","display_name":"Sam Tomashi","profile_url":"https://mdx.academia.edu/SamTomashi?f_ri=60650","photo":"https://0.academia-photos.com/60306516/19197454/19141687/s65_sam.tomashi.jpg"}</script></span></span></li><li class="js-paper-rank-work_35961969 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35961969"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35961969, container: ".js-paper-rank-work_35961969", }); });</script></li><li class="js-percentile-work_35961969 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35961969; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35961969"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35961969 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35961969"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35961969; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35961969]").text(description); $(".js-view-count-work_35961969").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35961969").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35961969"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="47980" href="https://www.academia.edu/Documents/in/Data_Visualization">Data Visualization</a>, <script data-card-contents-for-ri="47980" type="text/json">{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48591" href="https://www.academia.edu/Documents/in/Data_Visualisation">Data Visualisation</a><script data-card-contents-for-ri="48591" type="text/json">{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35961969]'), work: {"id":35961969,"title":"DATA WAREHOUSING AND BUSINESS INTELLIGENCE COURSEWORK 2","created_at":"2018-02-19T12:36:08.643-08:00","url":"https://www.academia.edu/35961969/DATA_WAREHOUSING_AND_BUSINESS_INTELLIGENCE_COURSEWORK_2?f_ri=60650","dom_id":"work_35961969","summary":"This work is based on the dataset acquired from a direct marketing campaign conducted by a Portuguese banking institution through phone calls where each customers was often contacted through more than one means of communication. The effect of marketing campaigns on the general public has declined due to economic pressures, competition, and the increase of marketing campaigns over time. The goal of this paper is to augment the campaign by using Business Intelligence and Data Mining techniques to find a model that would increase the campaigns efficacy by selecting a more explicit set of potential customers who would most likely subscribe to the banks term deposit contract, based on the data set.","downloadable_attachments":[{"id":55844932,"asset_id":35961969,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":60306516,"first_name":"Sam","last_name":"Tomashi","domain_name":"mdx","page_name":"SamTomashi","display_name":"Sam Tomashi","profile_url":"https://mdx.academia.edu/SamTomashi?f_ri=60650","photo":"https://0.academia-photos.com/60306516/19197454/19141687/s65_sam.tomashi.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=60650","nofollow":false},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":71613,"name":"Database Auditing","url":"https://www.academia.edu/Documents/in/Database_Auditing?f_ri=60650"},{"id":208883,"name":"SQL Query","url":"https://www.academia.edu/Documents/in/SQL_Query?f_ri=60650"},{"id":211970,"name":"MAchine Learning Algorithms","url":"https://www.academia.edu/Documents/in/MAchine_Learning_Algorithms?f_ri=60650"},{"id":994859,"name":"Data Mining and Business Intelligence","url":"https://www.academia.edu/Documents/in/Data_Mining_and_Business_Intelligence?f_ri=60650"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database?f_ri=60650"},{"id":1347904,"name":"Use of Weka Tool In Data Mining","url":"https://www.academia.edu/Documents/in/Use_of_Weka_Tool_In_Data_Mining?f_ri=60650"},{"id":1486836,"name":"Online Analytical Procesing (OLAP)","url":"https://www.academia.edu/Documents/in/Online_Analytical_Procesing_OLAP_?f_ri=60650"},{"id":2181093,"name":"Data Mining Preprocessing","url":"https://www.academia.edu/Documents/in/Data_Mining_Preprocessing?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_42818627" data-work_id="42818627" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/42818627/April_2020_Top_Read_Articles_In_Data_Mining_and_Knowledge_Management_Process_Research_Articles">April 2020: Top Read Articles In Data Mining & Knowledge Management Process Research Articles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_42818627" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/42818627" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3a77035e828d80169400a2c3179c6172" rel="nofollow" data-download="{"attachment_id":63049282,"asset_id":42818627,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63049282/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16715850" href="https://independent.academia.edu/IJDKPJOURNAL">International Journal of Data Mining & Knowledge Management Process ( IJDKP )</a><script data-card-contents-for-user="16715850" type="text/json">{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}</script></span></span></li><li class="js-paper-rank-work_42818627 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="42818627"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 42818627, container: ".js-paper-rank-work_42818627", }); });</script></li><li class="js-percentile-work_42818627 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 42818627; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_42818627"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_42818627 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="42818627"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42818627; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42818627]").text(description); $(".js-view-count-work_42818627").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_42818627").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="42818627"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10472" href="https://www.academia.edu/Documents/in/Web_Applications">Web Applications</a>, <script data-card-contents-for-ri="10472" type="text/json">{"id":10472,"name":"Web Applications","url":"https://www.academia.edu/Documents/in/Web_Applications?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23284" href="https://www.academia.edu/Documents/in/Wireless_Networks_Computer_Science_">Wireless Networks (Computer Science)</a><script data-card-contents-for-ri="23284" type="text/json">{"id":23284,"name":"Wireless Networks (Computer Science)","url":"https://www.academia.edu/Documents/in/Wireless_Networks_Computer_Science_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=42818627]'), work: {"id":42818627,"title":"April 2020: Top Read Articles In Data Mining \u0026 Knowledge Management Process Research Articles","created_at":"2020-04-22T03:53:09.049-07:00","url":"https://www.academia.edu/42818627/April_2020_Top_Read_Articles_In_Data_Mining_and_Knowledge_Management_Process_Research_Articles?f_ri=60650","dom_id":"work_42818627","summary":"Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.","downloadable_attachments":[{"id":63049282,"asset_id":42818627,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":10472,"name":"Web Applications","url":"https://www.academia.edu/Documents/in/Web_Applications?f_ri=60650","nofollow":false},{"id":23284,"name":"Wireless Networks (Computer Science)","url":"https://www.academia.edu/Documents/in/Wireless_Networks_Computer_Science_?f_ri=60650","nofollow":false},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":65576,"name":"Web Application Security","url":"https://www.academia.edu/Documents/in/Web_Application_Security?f_ri=60650"},{"id":95993,"name":"Web Application","url":"https://www.academia.edu/Documents/in/Web_Application?f_ri=60650"},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650"},{"id":289278,"name":"Big Data Analytics","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":457721,"name":"Computer Science Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_Engineering?f_ri=60650"},{"id":466683,"name":"Data classification","url":"https://www.academia.edu/Documents/in/Data_classification?f_ri=60650"},{"id":689944,"name":"Datamining Classification","url":"https://www.academia.edu/Documents/in/Datamining_Classification?f_ri=60650"},{"id":858066,"name":"Data Mining Classification","url":"https://www.academia.edu/Documents/in/Data_Mining_Classification?f_ri=60650"},{"id":877345,"name":"Big Data Security","url":"https://www.academia.edu/Documents/in/Big_Data_Security?f_ri=60650"},{"id":1184520,"name":"Big Data Applications","url":"https://www.academia.edu/Documents/in/Big_Data_Applications?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8325187" data-work_id="8325187" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8325187/F%C4%B0NANS_SEKT%C3%96R%C3%9CNDE_VER%C4%B0_MADENC%C4%B0L%C4%B0%C4%9E%C4%B0_UYGULAMASI">FİNANS SEKTÖRÜNDE VERİ MADENCİLİĞİ UYGULAMASI</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Bu çalışmada İstanbul Menkul Kıymetler Borsası (İMKB)’ndan elde edilen 1990-2010 yıllarını kapsayan döneme ait olmak üzere, 10 adet bankanın menkul kıymetlerinin kapanış fiyatları, menkul kıymet teknik analizlerinde yaygın biçimde... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8325187" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Bu çalışmada İstanbul Menkul Kıymetler Borsası (İMKB)’ndan elde edilen<br />1990-2010 yıllarını kapsayan döneme ait olmak üzere, 10 adet bankanın menkul<br />kıymetlerinin kapanış fiyatları, menkul kıymet teknik analizlerinde yaygın biçimde<br />kullanılan teknik göstergeler, altın fiyatlarındaki değişmeler, dolar kurundaki<br />değişmeler ve bazı yurtdışı borsa göstergeleri göz önüne alınarak karar ağaçları<br />oluşturulmuş ve bu ağaçlara dayalı olarak karar kuralları elde edilerek finans<br />sektöründe bir veri madenciliği çalışması gerçekleştirilmiştir. Elde edilen veriler<br />üzerinde çeşitli ön işlemler yapılarak veri madenciliği sürecinin ilk aşaması<br />tamamlanmış ve daha sonra veri madenciliği modelleri içinde tahmin edici model<br />olarak ele alınan sınıflandırma yöntemi uygulanmıştır. Analize dahil edilen<br />niteliklerin sayısını azaltmak amacıyla "Çoklu Doğrusal Regresyon Modelleri"<br />düzenlenmiş olup, analizin ilk aşamasında çalışma kapsamında incelenen bütün<br />nitelikler modele alınmışken, ilerleyen aşamada, istatistiksel bakımdan anlamlı<br />olmayan nitelikler modelden çıkarılmıştır. Bu deneysel işlemlerin sonucunda bazı<br />menkul kıymetlere ait regresyon modellerinden elde edilen niteliklerin seçilmesiyle<br />daha düşük ortalama hataya sahip regresyon ağaçlarının elde edilmiştir.<br />Çalışmanın son aşamasında, incelenen veriler üzerinde regresyon ve sınıflandırma<br />ağaçları (CART) ile sınıflandırma işlemi yapılarak, bir algoritma geliştirilmiş ve<br />karar kuralları oluşturulmuştur</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8325187" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="652c3df828e36a4f862cd469c2fa259e" rel="nofollow" data-download="{"attachment_id":34731553,"asset_id":8325187,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34731553/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10403194" href="https://marmara.academia.edu/Ay%C5%9Fe%C3%87%C4%B1nar">Ayşe Çınar</a><script data-card-contents-for-user="10403194" type="text/json">{"id":10403194,"first_name":"Ayşe","last_name":"Çınar","domain_name":"marmara","page_name":"AyşeÇınar","display_name":"Ayşe Çınar","profile_url":"https://marmara.academia.edu/Ay%C5%9Fe%C3%87%C4%B1nar?f_ri=60650","photo":"https://0.academia-photos.com/10403194/5371961/6132418/s65_ay_e._nar.jpg"}</script></span></span></li><li class="js-paper-rank-work_8325187 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8325187"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8325187, container: ".js-paper-rank-work_8325187", }); });</script></li><li class="js-percentile-work_8325187 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8325187; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8325187"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8325187 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8325187"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8325187; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8325187]").text(description); $(".js-view-count-work_8325187").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8325187").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8325187"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2482" href="https://www.academia.edu/Documents/in/Database_Systems">Database Systems</a>, <script data-card-contents-for-ri="2482" type="text/json">{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8325187]'), work: {"id":8325187,"title":"FİNANS SEKTÖRÜNDE VERİ MADENCİLİĞİ UYGULAMASI","created_at":"2014-09-14T15:42:56.114-07:00","url":"https://www.academia.edu/8325187/F%C4%B0NANS_SEKT%C3%96R%C3%9CNDE_VER%C4%B0_MADENC%C4%B0L%C4%B0%C4%9E%C4%B0_UYGULAMASI?f_ri=60650","dom_id":"work_8325187","summary":"Bu çalışmada İstanbul Menkul Kıymetler Borsası (İMKB)’ndan elde edilen\n1990-2010 yıllarını kapsayan döneme ait olmak üzere, 10 adet bankanın menkul\nkıymetlerinin kapanış fiyatları, menkul kıymet teknik analizlerinde yaygın biçimde\nkullanılan teknik göstergeler, altın fiyatlarındaki değişmeler, dolar kurundaki\ndeğişmeler ve bazı yurtdışı borsa göstergeleri göz önüne alınarak karar ağaçları\noluşturulmuş ve bu ağaçlara dayalı olarak karar kuralları elde edilerek finans\nsektöründe bir veri madenciliği çalışması gerçekleştirilmiştir. Elde edilen veriler\nüzerinde çeşitli ön işlemler yapılarak veri madenciliği sürecinin ilk aşaması\ntamamlanmış ve daha sonra veri madenciliği modelleri içinde tahmin edici model\nolarak ele alınan sınıflandırma yöntemi uygulanmıştır. Analize dahil edilen\nniteliklerin sayısını azaltmak amacıyla \"Çoklu Doğrusal Regresyon Modelleri\"\ndüzenlenmiş olup, analizin ilk aşamasında çalışma kapsamında incelenen bütün\nnitelikler modele alınmışken, ilerleyen aşamada, istatistiksel bakımdan anlamlı\nolmayan nitelikler modelden çıkarılmıştır. Bu deneysel işlemlerin sonucunda bazı\nmenkul kıymetlere ait regresyon modellerinden elde edilen niteliklerin seçilmesiyle\ndaha düşük ortalama hataya sahip regresyon ağaçlarının elde edilmiştir.\nÇalışmanın son aşamasında, incelenen veriler üzerinde regresyon ve sınıflandırma\nağaçları (CART) ile sınıflandırma işlemi yapılarak, bir algoritma geliştirilmiş ve\nkarar kuralları oluşturulmuştur","downloadable_attachments":[{"id":34731553,"asset_id":8325187,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10403194,"first_name":"Ayşe","last_name":"Çınar","domain_name":"marmara","page_name":"AyşeÇınar","display_name":"Ayşe Çınar","profile_url":"https://marmara.academia.edu/Ay%C5%9Fe%C3%87%C4%B1nar?f_ri=60650","photo":"https://0.academia-photos.com/10403194/5371961/6132418/s65_ay_e._nar.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38758490" data-work_id="38758490" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38758490/HYBRID_ENCRYPTION_ALGORITHMS_FOR_MEDICAL_DATA_STORAGE_SECURITY_IN_CLOUD_DATABASE">HYBRID ENCRYPTION ALGORITHMS FOR MEDICAL DATA STORAGE SECURITY IN CLOUD DATABASE</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Cloud database are derivatives of Cloud computing. At present, most medical institutions store data in cloud database. Although the cloud database improves the efficiency of use, it also poses a huge impact and challenge to the secure... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_38758490" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Cloud database are derivatives of Cloud computing. At present, most medical institutions store data in cloud database. Although the cloud database improves the efficiency of use, it also poses a huge impact and challenge to the secure storage of data. The article proposes a hybrid algorithm to solve the data security problem in the hospital cloud database. First, the AES algorithm is improved. The improved algorithm is called P-AES algorithm. The P-AES algorithm is then combined with the RSA algorithm, called a hybrid algorithm. The experimental results show that the hybrid encryption algorithm has the advantages of fast encryption and decryption speed, high security, good processing ability for longer data, and can solve the data security problem in cloud database to a certain extent. The algorithm has been successfully applied to hospital information management system.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38758490" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7de20f6b89991ccd65e87d89e3064c18" rel="nofollow" data-download="{"attachment_id":58846937,"asset_id":38758490,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58846937/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21611527" href="https://independent.academia.edu/IjdmsAircc">International Journal of Database Management Systems ( IJDMS )</a><script data-card-contents-for-user="21611527" type="text/json">{"id":21611527,"first_name":"International Journal of Database Management Systems","last_name":"( IJDMS )","domain_name":"independent","page_name":"IjdmsAircc","display_name":"International Journal of Database Management Systems ( IJDMS )","profile_url":"https://independent.academia.edu/IjdmsAircc?f_ri=60650","photo":"https://0.academia-photos.com/21611527/10167563/72308876/s65_international_journal_of_database_management_systems._ijdms_.png"}</script></span></span></li><li class="js-paper-rank-work_38758490 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38758490"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38758490, container: ".js-paper-rank-work_38758490", }); });</script></li><li class="js-percentile-work_38758490 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38758490; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_38758490"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_38758490 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="38758490"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38758490; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38758490]").text(description); $(".js-view-count-work_38758490").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38758490").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38758490"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="808" href="https://www.academia.edu/Documents/in/Aesthetics">Aesthetics</a>, <script data-card-contents-for-ri="808" type="text/json">{"id":808,"name":"Aesthetics","url":"https://www.academia.edu/Documents/in/Aesthetics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="138210" href="https://www.academia.edu/Documents/in/Business_Process_Improvement_Data_Quality_Dimensions_Information_Quality_Qualitative_and_Quantit">Business Process Improvement, Data Quality Dimensions, Information Quality , Qualitative and Quantitative Methodology</a>, <script data-card-contents-for-ri="138210" type="text/json">{"id":138210,"name":"Business Process Improvement, Data Quality Dimensions, Information Quality , Qualitative and Quantitative Methodology","url":"https://www.academia.edu/Documents/in/Business_Process_Improvement_Data_Quality_Dimensions_Information_Quality_Qualitative_and_Quantit?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="273215" href="https://www.academia.edu/Documents/in/RSA">RSA</a><script data-card-contents-for-ri="273215" type="text/json">{"id":273215,"name":"RSA","url":"https://www.academia.edu/Documents/in/RSA?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38758490]'), work: {"id":38758490,"title":"HYBRID ENCRYPTION ALGORITHMS FOR MEDICAL DATA STORAGE SECURITY IN CLOUD DATABASE","created_at":"2019-04-09T21:36:24.120-07:00","url":"https://www.academia.edu/38758490/HYBRID_ENCRYPTION_ALGORITHMS_FOR_MEDICAL_DATA_STORAGE_SECURITY_IN_CLOUD_DATABASE?f_ri=60650","dom_id":"work_38758490","summary":"Cloud database are derivatives of Cloud computing. At present, most medical institutions store data in cloud database. Although the cloud database improves the efficiency of use, it also poses a huge impact and challenge to the secure storage of data. The article proposes a hybrid algorithm to solve the data security problem in the hospital cloud database. First, the AES algorithm is improved. The improved algorithm is called P-AES algorithm. The P-AES algorithm is then combined with the RSA algorithm, called a hybrid algorithm. The experimental results show that the hybrid encryption algorithm has the advantages of fast encryption and decryption speed, high security, good processing ability for longer data, and can solve the data security problem in cloud database to a certain extent. The algorithm has been successfully applied to hospital information management system.","downloadable_attachments":[{"id":58846937,"asset_id":38758490,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21611527,"first_name":"International Journal of Database Management Systems","last_name":"( IJDMS )","domain_name":"independent","page_name":"IjdmsAircc","display_name":"International Journal of Database Management Systems ( IJDMS )","profile_url":"https://independent.academia.edu/IjdmsAircc?f_ri=60650","photo":"https://0.academia-photos.com/21611527/10167563/72308876/s65_international_journal_of_database_management_systems._ijdms_.png"}],"research_interests":[{"id":808,"name":"Aesthetics","url":"https://www.academia.edu/Documents/in/Aesthetics?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":138210,"name":"Business Process Improvement, Data Quality Dimensions, Information Quality , Qualitative and Quantitative Methodology","url":"https://www.academia.edu/Documents/in/Business_Process_Improvement_Data_Quality_Dimensions_Information_Quality_Qualitative_and_Quantit?f_ri=60650","nofollow":false},{"id":273215,"name":"RSA","url":"https://www.academia.edu/Documents/in/RSA?f_ri=60650","nofollow":false},{"id":785221,"name":"DATABASES AND XML","url":"https://www.academia.edu/Documents/in/DATABASES_AND_XML?f_ri=60650"},{"id":785785,"name":"Data Mining, Intelligent Systems","url":"https://www.academia.edu/Documents/in/Data_Mining_Intelligent_Systems?f_ri=60650"},{"id":1700597,"name":"Sensor Data Management","url":"https://www.academia.edu/Documents/in/Sensor_Data_Management?f_ri=60650"},{"id":3034985,"name":"WWW and Databases","url":"https://www.academia.edu/Documents/in/WWW_and_Databases?f_ri=60650"},{"id":3052742,"name":"Data and Information Networks","url":"https://www.academia.edu/Documents/in/Data_and_Information_Networks?f_ri=60650"},{"id":3092037,"name":"Data and Information Streams","url":"https://www.academia.edu/Documents/in/Data_and_Information_Streams?f_ri=60650"},{"id":3092038,"name":"Data Structures and Data Management Algorithms","url":"https://www.academia.edu/Documents/in/Data_Structures_and_Data_Management_Algorithms?f_ri=60650"},{"id":3192712,"name":"DB Systems \u0026 Applications","url":"https://www.academia.edu/Documents/in/DB_Systems_and_Applications?f_ri=60650"},{"id":3192715,"name":"Metadata Management","url":"https://www.academia.edu/Documents/in/Metadata_Management?f_ri=60650"},{"id":3193734,"name":" Hybrid Encryption ","url":"https://www.academia.edu/Documents/in/Hybrid_Encryption?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37905976" data-work_id="37905976" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37905976/Impact_of_Virtual_Reality_VR_in_Education_and_Healthcare">Impact of Virtual Reality VR in Education and Healthcare</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper discusses the significant roles of virtual reality in education and healthcare. It shows a strong influence and effect to the educational and health practitioners and the sectors. This paper offers some uses of virtual reality... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37905976" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper discusses the significant roles of virtual reality in education and healthcare. It shows a strong influence and effect to the educational and health practitioners and the sectors. This paper offers some uses of virtual reality in education and healthcare. Also the paper attempt to bring about an authentic learning and assure healthy environment by incorporating immersive virtual reality technology.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37905976" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d8e00f8ba3f4e8ab3ced4bb122af7299" rel="nofollow" data-download="{"attachment_id":57916230,"asset_id":37905976,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57916230/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2002487" href="https://udusok-ng.academia.edu/NuradeenMukhtar">Nuradeen Mukhtar</a><script data-card-contents-for-user="2002487" type="text/json">{"id":2002487,"first_name":"Nuradeen","last_name":"Mukhtar","domain_name":"udusok-ng","page_name":"NuradeenMukhtar","display_name":"Nuradeen Mukhtar","profile_url":"https://udusok-ng.academia.edu/NuradeenMukhtar?f_ri=60650","photo":"https://0.academia-photos.com/2002487/959270/13003125/s65_nuradeen.mukhtar.jpg"}</script></span></span></li><li class="js-paper-rank-work_37905976 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37905976"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37905976, container: ".js-paper-rank-work_37905976", }); });</script></li><li class="js-percentile-work_37905976 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37905976; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37905976"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37905976 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37905976"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37905976; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37905976]").text(description); $(".js-view-count-work_37905976").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37905976").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37905976"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">16</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="472" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1283" href="https://www.academia.edu/Documents/in/Information_Security">Information Security</a>, <script data-card-contents-for-ri="1283" type="text/json">{"id":1283,"name":"Information Security","url":"https://www.academia.edu/Documents/in/Information_Security?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2482" href="https://www.academia.edu/Documents/in/Database_Systems">Database Systems</a><script data-card-contents-for-ri="2482" type="text/json">{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37905976]'), work: {"id":37905976,"title":"Impact of Virtual Reality VR in Education and Healthcare","created_at":"2018-12-03T16:27:15.758-08:00","url":"https://www.academia.edu/37905976/Impact_of_Virtual_Reality_VR_in_Education_and_Healthcare?f_ri=60650","dom_id":"work_37905976","summary":"This paper discusses the significant roles of virtual reality in education and healthcare. It shows a strong influence and effect to the educational and health practitioners and the sectors. This paper offers some uses of virtual reality in education and healthcare. Also the paper attempt to bring about an authentic learning and assure healthy environment by incorporating immersive virtual reality technology. ","downloadable_attachments":[{"id":57916230,"asset_id":37905976,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2002487,"first_name":"Nuradeen","last_name":"Mukhtar","domain_name":"udusok-ng","page_name":"NuradeenMukhtar","display_name":"Nuradeen Mukhtar","profile_url":"https://udusok-ng.academia.edu/NuradeenMukhtar?f_ri=60650","photo":"https://0.academia-photos.com/2002487/959270/13003125/s65_nuradeen.mukhtar.jpg"}],"research_interests":[{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=60650","nofollow":false},{"id":1283,"name":"Information Security","url":"https://www.academia.edu/Documents/in/Information_Security?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":45090,"name":"Database Management Systems","url":"https://www.academia.edu/Documents/in/Database_Management_Systems?f_ri=60650"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality?f_ri=60650"},{"id":54256,"name":"System Analysis and Design","url":"https://www.academia.edu/Documents/in/System_Analysis_and_Design?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":117275,"name":"Virtual Reality in Education","url":"https://www.academia.edu/Documents/in/Virtual_Reality_in_Education?f_ri=60650"},{"id":247799,"name":"Internet of Things (IoT)","url":"https://www.academia.edu/Documents/in/Internet_of_Things_IoT_?f_ri=60650"},{"id":307167,"name":"Information systems analysis and design methods","url":"https://www.academia.edu/Documents/in/Information_systems_analysis_and_design_methods?f_ri=60650"},{"id":413916,"name":"Education Management Information System","url":"https://www.academia.edu/Documents/in/Education_Management_Information_System?f_ri=60650"},{"id":457037,"name":"Ethical Hacking and Information Security","url":"https://www.academia.edu/Documents/in/Ethical_Hacking_and_Information_Security?f_ri=60650"},{"id":1806098,"name":"E-Commerces","url":"https://www.academia.edu/Documents/in/E-Commerces?f_ri=60650"},{"id":3075376,"name":"virtual reality in health","url":"https://www.academia.edu/Documents/in/virtual_reality_in_health?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_20499320" data-work_id="20499320" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/20499320/A_Survey_of_Extract_Transform_Load_Technology">A Survey of Extract–Transform–Load Technology</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20499320" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e0aeb590a552397d5866b01459f77c34" rel="nofollow" data-download="{"attachment_id":41405464,"asset_id":20499320,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41405464/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34766800" href="https://lastamp.academia.edu/PanosVassiliadis">Panos Vassiliadis</a><script data-card-contents-for-user="34766800" type="text/json">{"id":34766800,"first_name":"Panos","last_name":"Vassiliadis","domain_name":"lastamp","page_name":"PanosVassiliadis","display_name":"Panos Vassiliadis","profile_url":"https://lastamp.academia.edu/PanosVassiliadis?f_ri=60650","photo":"https://0.academia-photos.com/34766800/11114848/12403882/s65_panos.vassiliadis.jpg"}</script></span></span></li><li class="js-paper-rank-work_20499320 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20499320"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20499320, container: ".js-paper-rank-work_20499320", }); });</script></li><li class="js-percentile-work_20499320 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20499320; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_20499320"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_20499320 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="20499320"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20499320; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20499320]").text(description); $(".js-view-count-work_20499320").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_20499320").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="20499320"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10601" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a>, <script data-card-contents-for-ri="10601" type="text/json">{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2070034" href="https://www.academia.edu/Documents/in/Data_Format">Data Format</a><script data-card-contents-for-ri="2070034" type="text/json">{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=20499320]'), work: {"id":20499320,"title":"A Survey of Extract–Transform–Load Technology","created_at":"2016-01-22T02:05:05.369-08:00","url":"https://www.academia.edu/20499320/A_Survey_of_Extract_Transform_Load_Technology?f_ri=60650","dom_id":"work_20499320","summary":null,"downloadable_attachments":[{"id":41405464,"asset_id":20499320,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34766800,"first_name":"Panos","last_name":"Vassiliadis","domain_name":"lastamp","page_name":"PanosVassiliadis","display_name":"Panos Vassiliadis","profile_url":"https://lastamp.academia.edu/PanosVassiliadis?f_ri=60650","photo":"https://0.academia-photos.com/34766800/11114848/12403882/s65_panos.vassiliadis.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false},{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_25192732" data-work_id="25192732" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/25192732/The_Dark_Side_of_Customer_Relationship_Management_in_the_Luxury_segment_of_the_Hotel_Industry_The_Professional_Golfers_Association">The Dark Side of Customer Relationship Management in the Luxury segment of the Hotel Industry The Professional Golfers' Association</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Today, service organizations are shifting their focus from " transactional exchange " to " relational exchange " for developing mutually satisfying relationship with customers. Extended relationships are reported to have a significant... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_25192732" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Today, service organizations are shifting their focus from " transactional exchange " to " relational exchange " for developing mutually satisfying relationship with customers. Extended relationships are reported to have a significant impact on transaction cost and profitability, and customer lifetime value. Serving the customers, in true sense, is the need of the hour as the customer was, is and will remain the central focus of all organizational activities. The hotel industry, especially the luxury segment hotels needs to be purely customer-centric and focus on the customer needs and duly fulfill them.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/25192732" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="44f4abfce24daa0fdda29f546dabc227" rel="nofollow" data-download="{"attachment_id":45506606,"asset_id":25192732,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45506606/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="48505529" href="https://independent.academia.edu/igwelizzy">lizzy igwe</a><script data-card-contents-for-user="48505529" type="text/json">{"id":48505529,"first_name":"lizzy","last_name":"igwe","domain_name":"independent","page_name":"igwelizzy","display_name":"lizzy igwe","profile_url":"https://independent.academia.edu/igwelizzy?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_25192732 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="25192732"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 25192732, container: ".js-paper-rank-work_25192732", }); });</script></li><li class="js-percentile-work_25192732 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25192732; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_25192732"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_25192732 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="25192732"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25192732; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25192732]").text(description); $(".js-view-count-work_25192732").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_25192732").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="25192732"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="94051" href="https://www.academia.edu/Documents/in/Bigdata">Bigdata</a><script data-card-contents-for-ri="94051" type="text/json">{"id":94051,"name":"Bigdata","url":"https://www.academia.edu/Documents/in/Bigdata?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=25192732]'), work: {"id":25192732,"title":"The Dark Side of Customer Relationship Management in the Luxury segment of the Hotel Industry The Professional Golfers' Association","created_at":"2016-05-10T04:21:59.875-07:00","url":"https://www.academia.edu/25192732/The_Dark_Side_of_Customer_Relationship_Management_in_the_Luxury_segment_of_the_Hotel_Industry_The_Professional_Golfers_Association?f_ri=60650","dom_id":"work_25192732","summary":"Today, service organizations are shifting their focus from \" transactional exchange \" to \" relational exchange \" for developing mutually satisfying relationship with customers. Extended relationships are reported to have a significant impact on transaction cost and profitability, and customer lifetime value. Serving the customers, in true sense, is the need of the hour as the customer was, is and will remain the central focus of all organizational activities. The hotel industry, especially the luxury segment hotels needs to be purely customer-centric and focus on the customer needs and duly fulfill them.","downloadable_attachments":[{"id":45506606,"asset_id":25192732,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":48505529,"first_name":"lizzy","last_name":"igwe","domain_name":"independent","page_name":"igwelizzy","display_name":"lizzy igwe","profile_url":"https://independent.academia.edu/igwelizzy?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":94051,"name":"Bigdata","url":"https://www.academia.edu/Documents/in/Bigdata?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26252824" data-work_id="26252824" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26252824/A_Decision_Making_Model_for_Human_Resource_Management_in_Organizations_using_Data_Mining_and_Predictive_Analytics">A Decision Making Model for Human Resource Management in Organizations using Data Mining and Predictive Analytics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstract — The development of a decision-making model for Human Resource Management (HRM) in organizations especially for multinational companies can be encouraged considering the fact that HRM plays a lead role in determining the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_26252824" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract — The development of a decision-making model for Human Resource Management (HRM) in organizations especially for multinational companies can be encouraged considering the fact that HRM plays a lead role in determining the effectiveness of organizations’ endurance. The HRM generally maintains evaluation practices and systems impelling employee behavior, commitment, and performance. It is the responsibility of the HRM to dig best talents around the world, look after training, evaluate employee performance, give away rewards and ultimately keep a right environment in the company. As every strategy of an organization is totally or somewhat related to the talents present, it becomes essential to provide a framework that accurately predicts talent and workforce. When human resource data is accessed for decision making, different methods can be used to extract the best knowledge out of available data. Data mining is widely considered for extracting insights from data to make decisions whereas predictive analytics is known for state-of-the-art accuracy in decisions. The proposed model can be helpful in improving effectiveness and efficiency of HR system that will optimize business outcome. This paper is an attempt to provide a decision-making framework for Human Resource related decisions comprising data mining and predictive analytics.<br /><br />Index Terms— Data Mining, Decision Making, Human Resource Management, Predictive Analytics, Talent Management.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26252824" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b2af4b5659774beb67e01fe11e09179c" rel="nofollow" data-download="{"attachment_id":46568117,"asset_id":26252824,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46568117/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2328357" href="https://independent.academia.edu/JournalofComputerScienceIJCSIS">Journal of Computer Science IJCSIS</a><script data-card-contents-for-user="2328357" type="text/json">{"id":2328357,"first_name":"Journal of Computer Science","last_name":"IJCSIS","domain_name":"independent","page_name":"JournalofComputerScienceIJCSIS","display_name":"Journal of Computer Science IJCSIS","profile_url":"https://independent.academia.edu/JournalofComputerScienceIJCSIS?f_ri=60650","photo":"https://0.academia-photos.com/2328357/8085511/9052483/s65_journal_of_computer_science.ijcsis.jpg"}</script></span></span></li><li class="js-paper-rank-work_26252824 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26252824"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26252824, container: ".js-paper-rank-work_26252824", }); });</script></li><li class="js-percentile-work_26252824 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26252824; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_26252824"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_26252824 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="26252824"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26252824; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26252824]").text(description); $(".js-view-count-work_26252824").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_26252824").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="26252824"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="37" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="491" href="https://www.academia.edu/Documents/in/Information_Technology">Information Technology</a>, <script data-card-contents-for-ri="491" type="text/json">{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1380" href="https://www.academia.edu/Documents/in/Computer_Engineering">Computer Engineering</a><script data-card-contents-for-ri="1380" type="text/json">{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=26252824]'), work: {"id":26252824,"title":"A Decision Making Model for Human Resource Management in Organizations using Data Mining and Predictive Analytics","created_at":"2016-06-17T06:22:20.559-07:00","url":"https://www.academia.edu/26252824/A_Decision_Making_Model_for_Human_Resource_Management_in_Organizations_using_Data_Mining_and_Predictive_Analytics?f_ri=60650","dom_id":"work_26252824","summary":"Abstract — The development of a decision-making model for Human Resource Management (HRM) in organizations especially for multinational companies can be encouraged considering the fact that HRM plays a lead role in determining the effectiveness of organizations’ endurance. The HRM generally maintains evaluation practices and systems impelling employee behavior, commitment, and performance. It is the responsibility of the HRM to dig best talents around the world, look after training, evaluate employee performance, give away rewards and ultimately keep a right environment in the company. As every strategy of an organization is totally or somewhat related to the talents present, it becomes essential to provide a framework that accurately predicts talent and workforce. When human resource data is accessed for decision making, different methods can be used to extract the best knowledge out of available data. Data mining is widely considered for extracting insights from data to make decisions whereas predictive analytics is known for state-of-the-art accuracy in decisions. The proposed model can be helpful in improving effectiveness and efficiency of HR system that will optimize business outcome. This paper is an attempt to provide a decision-making framework for Human Resource related decisions comprising data mining and predictive analytics.\n\nIndex Terms— Data Mining, Decision Making, Human Resource Management, Predictive Analytics, Talent Management.\n","downloadable_attachments":[{"id":46568117,"asset_id":26252824,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2328357,"first_name":"Journal of Computer Science","last_name":"IJCSIS","domain_name":"independent","page_name":"JournalofComputerScienceIJCSIS","display_name":"Journal of Computer Science IJCSIS","profile_url":"https://independent.academia.edu/JournalofComputerScienceIJCSIS?f_ri=60650","photo":"https://0.academia-photos.com/2328357/8085511/9052483/s65_journal_of_computer_science.ijcsis.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=60650","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=60650","nofollow":false},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650"},{"id":7454,"name":"Information Communication Technology","url":"https://www.academia.edu/Documents/in/Information_Communication_Technology?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_71808938" data-work_id="71808938" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/71808938/Build_a_Data_Warehouse_Lab_of_Data_Science">Build a Data Warehouse - Lab. of Data Science</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">ETL Project given by the University of Pisa conducted in a team of 3 people. We worked hard on this laboratory project to develop a Data Warehouse and explore it using SQL. Therefore we deployed a Cube and explored it with MDX before... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_71808938" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">ETL Project given by the University of Pisa conducted in a team of 3 people. We worked hard on this laboratory project to develop a  Data Warehouse and explore it using SQL. Therefore we deployed a Cube and explored it with MDX before creating dashboards through Microsoft Power BI <br />The tools used for this project are: Microsoft Visual Studio, Microsoft SQL Server and Power BI. <br />In particular I worked on building and populating the Data Warehouse, manipulating data in formatc csv using Python.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/71808938" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="893d0d2f68ee99f5dc1020944d24eaf6" rel="nofollow" data-download="{"attachment_id":81003249,"asset_id":71808938,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81003249/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="134803376" href="https://pisa.academia.edu/LuftjanSaliaj">Luftjan Saliaj</a><script data-card-contents-for-user="134803376" type="text/json">{"id":134803376,"first_name":"Luftjan","last_name":"Saliaj","domain_name":"pisa","page_name":"LuftjanSaliaj","display_name":"Luftjan Saliaj","profile_url":"https://pisa.academia.edu/LuftjanSaliaj?f_ri=60650","photo":"https://0.academia-photos.com/134803376/49732833/62230404/s65_luftjan.saliaj.jpg"}</script></span></span></li><li class="js-paper-rank-work_71808938 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="71808938"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 71808938, container: ".js-paper-rank-work_71808938", }); });</script></li><li class="js-percentile-work_71808938 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71808938; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_71808938"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_71808938 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="71808938"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71808938; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71808938]").text(description); $(".js-view-count-work_71808938").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_71808938").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="71808938"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2482" href="https://www.academia.edu/Documents/in/Database_Systems">Database Systems</a>, <script data-card-contents-for-ri="2482" type="text/json">{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="17832" href="https://www.academia.edu/Documents/in/Python">Python</a>, <script data-card-contents-for-ri="17832" type="text/json">{"id":17832,"name":"Python","url":"https://www.academia.edu/Documents/in/Python?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45871" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a><script data-card-contents-for-ri="45871" type="text/json">{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=71808938]'), work: {"id":71808938,"title":"Build a Data Warehouse - Lab. of Data Science","created_at":"2022-02-18T09:30:21.790-08:00","url":"https://www.academia.edu/71808938/Build_a_Data_Warehouse_Lab_of_Data_Science?f_ri=60650","dom_id":"work_71808938","summary":"ETL Project given by the University of Pisa conducted in a team of 3 people. We worked hard on this laboratory project to develop a Data Warehouse and explore it using SQL. Therefore we deployed a Cube and explored it with MDX before creating dashboards through Microsoft Power BI\r\nThe tools used for this project are: Microsoft Visual Studio, Microsoft SQL Server and Power BI.\r\nIn particular I worked on building and populating the Data Warehouse, manipulating data in formatc csv using Python.","downloadable_attachments":[{"id":81003249,"asset_id":71808938,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":134803376,"first_name":"Luftjan","last_name":"Saliaj","domain_name":"pisa","page_name":"LuftjanSaliaj","display_name":"Luftjan Saliaj","profile_url":"https://pisa.academia.edu/LuftjanSaliaj?f_ri=60650","photo":"https://0.academia-photos.com/134803376/49732833/62230404/s65_luftjan.saliaj.jpg"}],"research_interests":[{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=60650","nofollow":false},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":17832,"name":"Python","url":"https://www.academia.edu/Documents/in/Python?f_ri=60650","nofollow":false},{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false},{"id":56910,"name":"SQL SERVER","url":"https://www.academia.edu/Documents/in/SQL_SERVER?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science?f_ri=60650"},{"id":124703,"name":"Database Oracle","url":"https://www.academia.edu/Documents/in/Database_Oracle?f_ri=60650"},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650"},{"id":296211,"name":"ETL processes","url":"https://www.academia.edu/Documents/in/ETL_processes?f_ri=60650"},{"id":508118,"name":"Dashboards","url":"https://www.academia.edu/Documents/in/Dashboards?f_ri=60650"},{"id":727666,"name":"Microsoft Visual Studio","url":"https://www.academia.edu/Documents/in/Microsoft_Visual_Studio?f_ri=60650"},{"id":2007488,"name":"MDX queries","url":"https://www.academia.edu/Documents/in/MDX_queries?f_ri=60650"},{"id":3289543,"name":"Analyzing and Visualizing Data with Microsoft Power BI","url":"https://www.academia.edu/Documents/in/Analyzing_and_Visualizing_Data_with_Microsoft_Power_BI?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43368563" data-work_id="43368563" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43368563/Business_Intelligence_Tools_for_Small_Companies_A_Guide_to_Free_and_Low_Cost_Solutions">Business Intelligence Tools for Small Companies A Guide to Free and Low-Cost Solutions</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Welcome to “Business Intelligence Tools for Small Companies: A Guide to Free and Low-Cost Solutions.” In this book we want to propose multiple options to implement a BI project based on a simple idea, implement an Agile system, easy to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43368563" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Welcome to “Business Intelligence Tools for Small Companies: A Guide to Free and Low-Cost Solutions.” <br />In this book we want to propose multiple options to implement a BI project based on a simple idea, implement an Agile system, easy to manage using open source tools for making BI project solutions.<br />You are introduced to the main Business Intelligence concepts using user-friendly definitions; we will explore the main BI components that BI solutions must use, analyzing some of the principal open source solutions for every component; and we will also show you some best practices to manage the whole project from an Agile methodology perspective and recommended strategies for life cycle management, including the movement of all of the platform to a Cloud environment.<br />Moreover, what we all understand about Big Data which is a set of tools that act altogether as a framework. These tools let us to process different types of workloads: Batch workload, Real Time, Semi Real time… and different types of data: Structured, semi-structured data, unstructured data, images, videos…<br />Organizations can have started to accumulate data, and processing and analyzing this data is usually out of the scope of traditional BI tools, as much more power is required.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43368563" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="43f28e4fe895c3a65454610fb4317a5c" rel="nofollow" data-download="{"attachment_id":63659368,"asset_id":43368563,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63659368/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="65250885" href="https://independent.academia.edu/DREAMamysoe">amysoe DREAM-education</a><script data-card-contents-for-user="65250885" type="text/json">{"id":65250885,"first_name":"amysoe","last_name":"DREAM-education","domain_name":"independent","page_name":"DREAMamysoe","display_name":"amysoe DREAM-education","profile_url":"https://independent.academia.edu/DREAMamysoe?f_ri=60650","photo":"https://0.academia-photos.com/65250885/21661215/20992116/s65_amysoe.nvl-institute.jpg"}</script></span></span></li><li class="js-paper-rank-work_43368563 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43368563"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43368563, container: ".js-paper-rank-work_43368563", }); });</script></li><li class="js-percentile-work_43368563 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43368563; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43368563"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43368563 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43368563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43368563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43368563]").text(description); $(".js-view-count-work_43368563").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43368563").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43368563"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="7357" href="https://www.academia.edu/Documents/in/Business_Intelligence">Business Intelligence</a>, <script data-card-contents-for-ri="7357" type="text/json">{"id":7357,"name":"Business Intelligence","url":"https://www.academia.edu/Documents/in/Business_Intelligence?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="50140" href="https://www.academia.edu/Documents/in/Agile_Methodologies">Agile Methodologies</a>, <script data-card-contents-for-ri="50140" type="text/json">{"id":50140,"name":"Agile Methodologies","url":"https://www.academia.edu/Documents/in/Agile_Methodologies?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="51359" href="https://www.academia.edu/Documents/in/Business_Analytics">Business Analytics</a>, <script data-card-contents-for-ri="51359" type="text/json">{"id":51359,"name":"Business Analytics","url":"https://www.academia.edu/Documents/in/Business_Analytics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="55071" href="https://www.academia.edu/Documents/in/Dataware_House">Dataware House</a><script data-card-contents-for-ri="55071" type="text/json">{"id":55071,"name":"Dataware House","url":"https://www.academia.edu/Documents/in/Dataware_House?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43368563]'), work: {"id":43368563,"title":"Business Intelligence Tools for Small Companies A Guide to Free and Low-Cost Solutions","created_at":"2020-06-17T11:24:08.994-07:00","url":"https://www.academia.edu/43368563/Business_Intelligence_Tools_for_Small_Companies_A_Guide_to_Free_and_Low_Cost_Solutions?f_ri=60650","dom_id":"work_43368563","summary":"Welcome to “Business Intelligence Tools for Small Companies: A Guide to Free and Low-Cost Solutions.” \nIn this book we want to propose multiple options to implement a BI project based on a simple idea, implement an Agile system, easy to manage using open source tools for making BI project solutions.\nYou are introduced to the main Business Intelligence concepts using user-friendly definitions; we will explore the main BI components that BI solutions must use, analyzing some of the principal open source solutions for every component; and we will also show you some best practices to manage the whole project from an Agile methodology perspective and recommended strategies for life cycle management, including the movement of all of the platform to a Cloud environment.\nMoreover, what we all understand about Big Data which is a set of tools that act altogether as a framework. These tools let us to process different types of workloads: Batch workload, Real Time, Semi Real time… and different types of data: Structured, semi-structured data, unstructured data, images, videos…\nOrganizations can have started to accumulate data, and processing and analyzing this data is usually out of the scope of traditional BI tools, as much more power is required.\n","downloadable_attachments":[{"id":63659368,"asset_id":43368563,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":65250885,"first_name":"amysoe","last_name":"DREAM-education","domain_name":"independent","page_name":"DREAMamysoe","display_name":"amysoe DREAM-education","profile_url":"https://independent.academia.edu/DREAMamysoe?f_ri=60650","photo":"https://0.academia-photos.com/65250885/21661215/20992116/s65_amysoe.nvl-institute.jpg"}],"research_interests":[{"id":7357,"name":"Business Intelligence","url":"https://www.academia.edu/Documents/in/Business_Intelligence?f_ri=60650","nofollow":false},{"id":50140,"name":"Agile Methodologies","url":"https://www.academia.edu/Documents/in/Agile_Methodologies?f_ri=60650","nofollow":false},{"id":51359,"name":"Business Analytics","url":"https://www.academia.edu/Documents/in/Business_Analytics?f_ri=60650","nofollow":false},{"id":55071,"name":"Dataware House","url":"https://www.academia.edu/Documents/in/Dataware_House?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":66379,"name":"Automation","url":"https://www.academia.edu/Documents/in/Automation?f_ri=60650"},{"id":289278,"name":"Big Data Analytics","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics?f_ri=60650"},{"id":296211,"name":"ETL processes","url":"https://www.academia.edu/Documents/in/ETL_processes?f_ri=60650"},{"id":296397,"name":"Business performance","url":"https://www.academia.edu/Documents/in/Business_performance?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36086763" data-work_id="36086763" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36086763/An_Algorithm_for_Predictive_Data_Mining_Approach_in_Medical_Diagnosis">An Algorithm for Predictive Data Mining Approach in Medical Diagnosis</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Healthcare industry contains big and complex data that may be required in order to discover fascinating pattern of diseases & makes effective decisions with the help of different machine learning techniques. Advanced data mining... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36086763" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Healthcare industry contains big and complex data that may be required in order to discover fascinating pattern of diseases & makes effective decisions with the help of different machine learning<br />techniques. Advanced data mining techniques are used to discover knowledge in database and for medical research. This paper has analyzed prediction systems for Diabetes, Kidney and Liver disease using more number of input attributes. The data mining classification techniques, namely Support Vector Machine(SVM) and Random Forest (RF) are analyzed on Diabetes, Kidney and Liver disease database.<br />The performance of these techniques is compared, based on precision, recall, accuracy, f_measure as well as time. As a result of study the proposed algorithm is designed using SVM and RF algorithm and the<br />experimental result shows the accuracy of 99.35%, 99.37 and 99.14 on diabetes, kidney and liver disease respectively.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36086763" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7f4abb17f93217d849c464876c3e8132" rel="nofollow" data-download="{"attachment_id":55975904,"asset_id":36086763,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55975904/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21255813" href="https://independent.academia.edu/IjcsitJournal">International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed</a><script data-card-contents-for-user="21255813" type="text/json">{"id":21255813,"first_name":"International Journal of Computer Science and Information Technology","last_name":"( IJCSIT ) INSPEC ,WJCI Indexed","domain_name":"independent","page_name":"IjcsitJournal","display_name":"International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed","profile_url":"https://independent.academia.edu/IjcsitJournal?f_ri=60650","photo":"https://0.academia-photos.com/21255813/5872009/139167812/s65_international_journal_of_computer_science_and_information_technology._ijcsit_inspec_wjci_indexed.jpg"}</script></span></span></li><li class="js-paper-rank-work_36086763 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36086763"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36086763, container: ".js-paper-rank-work_36086763", }); });</script></li><li class="js-percentile-work_36086763 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 36086763; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_36086763"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_36086763 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="36086763"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 36086763; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=36086763]").text(description); $(".js-view-count-work_36086763").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36086763").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36086763"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">30</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4095" href="https://www.academia.edu/Documents/in/Classification_Machine_Learning_">Classification (Machine Learning)</a>, <script data-card-contents-for-ri="4095" type="text/json">{"id":4095,"name":"Classification (Machine Learning)","url":"https://www.academia.edu/Documents/in/Classification_Machine_Learning_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5486" href="https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods">Clustering and Classification Methods</a>, <script data-card-contents-for-ri="5486" type="text/json">{"id":5486,"name":"Clustering and Classification Methods","url":"https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9447" href="https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_">Stream Mining (Data Mining)</a><script data-card-contents-for-ri="9447" type="text/json">{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36086763]'), work: {"id":36086763,"title":"An Algorithm for Predictive Data Mining Approach in Medical Diagnosis","created_at":"2018-03-05T22:45:54.885-08:00","url":"https://www.academia.edu/36086763/An_Algorithm_for_Predictive_Data_Mining_Approach_in_Medical_Diagnosis?f_ri=60650","dom_id":"work_36086763","summary":"The Healthcare industry contains big and complex data that may be required in order to discover fascinating pattern of diseases \u0026 makes effective decisions with the help of different machine learning\ntechniques. Advanced data mining techniques are used to discover knowledge in database and for medical research. This paper has analyzed prediction systems for Diabetes, Kidney and Liver disease using more number of input attributes. The data mining classification techniques, namely Support Vector Machine(SVM) and Random Forest (RF) are analyzed on Diabetes, Kidney and Liver disease database.\nThe performance of these techniques is compared, based on precision, recall, accuracy, f_measure as well as time. As a result of study the proposed algorithm is designed using SVM and RF algorithm and the\nexperimental result shows the accuracy of 99.35%, 99.37 and 99.14 on diabetes, kidney and liver disease respectively. ","downloadable_attachments":[{"id":55975904,"asset_id":36086763,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21255813,"first_name":"International Journal of Computer Science and Information Technology","last_name":"( IJCSIT ) INSPEC ,WJCI Indexed","domain_name":"independent","page_name":"IjcsitJournal","display_name":"International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed","profile_url":"https://independent.academia.edu/IjcsitJournal?f_ri=60650","photo":"https://0.academia-photos.com/21255813/5872009/139167812/s65_international_journal_of_computer_science_and_information_technology._ijcsit_inspec_wjci_indexed.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":4095,"name":"Classification (Machine Learning)","url":"https://www.academia.edu/Documents/in/Classification_Machine_Learning_?f_ri=60650","nofollow":false},{"id":5486,"name":"Clustering and Classification Methods","url":"https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods?f_ri=60650","nofollow":false},{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650"},{"id":15426,"name":"Spatial Data Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Spatial_Data_Mining_Data_Mining_?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":39682,"name":"Graph Data Mining","url":"https://www.academia.edu/Documents/in/Graph_Data_Mining?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":56368,"name":"Image Classification","url":"https://www.academia.edu/Documents/in/Image_Classification?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":84486,"name":"Disease Prediction","url":"https://www.academia.edu/Documents/in/Disease_Prediction?f_ri=60650"},{"id":93179,"name":"Data Stream Mining","url":"https://www.academia.edu/Documents/in/Data_Stream_Mining?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":193254,"name":"SVM classifier","url":"https://www.academia.edu/Documents/in/SVM_classifier?f_ri=60650"},{"id":235015,"name":"Model Based Clinical Decision Support Systems","url":"https://www.academia.edu/Documents/in/Model_Based_Clinical_Decision_Support_Systems?f_ri=60650"},{"id":394230,"name":"Current Trends in Data Mining","url":"https://www.academia.edu/Documents/in/Current_Trends_in_Data_Mining?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":417807,"name":"Clinical Decision Support System","url":"https://www.academia.edu/Documents/in/Clinical_Decision_Support_System?f_ri=60650"},{"id":459269,"name":"Data mining and Text mining","url":"https://www.academia.edu/Documents/in/Data_mining_and_Text_mining?f_ri=60650"},{"id":460675,"name":"Data Mining Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Techniques?f_ri=60650"},{"id":861863,"name":"Clinical Decision Support Systems","url":"https://www.academia.edu/Documents/in/Clinical_Decision_Support_Systems?f_ri=60650"},{"id":994859,"name":"Data Mining and Business Intelligence","url":"https://www.academia.edu/Documents/in/Data_Mining_and_Business_Intelligence?f_ri=60650"},{"id":1120211,"name":"Svm Kernel","url":"https://www.academia.edu/Documents/in/Svm_Kernel?f_ri=60650"},{"id":2021988,"name":"Disease progression prediction","url":"https://www.academia.edu/Documents/in/Disease_progression_prediction?f_ri=60650"},{"id":2424363,"name":"Disease Risk Prediction","url":"https://www.academia.edu/Documents/in/Disease_Risk_Prediction?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_42988572" data-work_id="42988572" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/42988572/%CE%95%CE%BE%CF%8C%CF%81%CF%85%CE%BE%CE%B7_%CE%A0%CE%BB%CE%B7%CF%81%CE%BF%CF%86%CE%BF%CF%81%CE%AF%CE%B1%CF%82_%CE%A3%CF%85%CF%83%CF%84%CE%B1%CE%B4%CE%BF%CF%80%CE%BF%CE%AF%CE%B7%CF%83%CE%B7_%CE%BA%CE%B1%CE%B9_%CE%9A%CE%B1%CF%84%CE%B7%CE%B3%CE%BF%CF%81%CE%B9%CE%BF%CF%80%CE%BF%CE%AF%CE%B7%CF%83%CE%B7_%CE%BC%CE%B5_%CF%84%CE%BF_Weka_Data_Mining_Clustering_and_Classification_using_Weka_technical_report_">Εξόρυξη Πληροφορίας: Συσταδοποίηση και Κατηγοριοποίηση με το Weka (Data Mining: Clustering & Classification using Weka) [technical report]</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Στη συγκεκριμένη πειραματική μελέτη, το σετ δεδομένων (dataset) που δόθηκε αφορά σε δημογραφικά στοιχεία και στοιχεία χρήσης των υπηρεσιών μιας εταιρείας τηλεπικοινωνιών για ένα πλήθος πελατών της. Στόχος της μελέτης είναι η ομαδοποίηση... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_42988572" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Στη συγκεκριμένη πειραματική μελέτη, το σετ δεδομένων (dataset) που δόθηκε αφορά σε δημογραφικά στοιχεία και στοιχεία χρήσης των υπηρεσιών μιας εταιρείας τηλεπικοινωνιών για ένα πλήθος πελατών της. Στόχος της μελέτης είναι η ομαδοποίηση των πελατών βάσει συγκεκριμένων χαρακτηριστικών και η κατασκευή μοντέλου πρόβλεψης για την περίπτωση αποχώρησης ή παραμονής ενός πελάτη από την εταιρεία.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/42988572" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d14988713aa57433bb7eaf6653ce985d" rel="nofollow" data-download="{"attachment_id":63249697,"asset_id":42988572,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63249697/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="345681" href="https://auth.academia.edu/PVasileiadis">Pavlos D Vasileiadis</a><script data-card-contents-for-user="345681" type="text/json">{"id":345681,"first_name":"Pavlos","last_name":"Vasileiadis","domain_name":"auth","page_name":"PVasileiadis","display_name":"Pavlos D Vasileiadis","profile_url":"https://auth.academia.edu/PVasileiadis?f_ri=60650","photo":"https://0.academia-photos.com/345681/2050314/2414927/s65_pavlos.vasileiadis.jpg"}</script></span></span></li><li class="js-paper-rank-work_42988572 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="42988572"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 42988572, container: ".js-paper-rank-work_42988572", }); });</script></li><li class="js-percentile-work_42988572 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 42988572; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_42988572"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_42988572 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="42988572"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42988572; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42988572]").text(description); $(".js-view-count-work_42988572").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_42988572").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="42988572"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=42988572]'), work: {"id":42988572,"title":"Εξόρυξη Πληροφορίας: Συσταδοποίηση και Κατηγοριοποίηση με το Weka (Data Mining: Clustering \u0026 Classification using Weka) [technical report]","created_at":"2020-05-09T04:44:19.137-07:00","url":"https://www.academia.edu/42988572/%CE%95%CE%BE%CF%8C%CF%81%CF%85%CE%BE%CE%B7_%CE%A0%CE%BB%CE%B7%CF%81%CE%BF%CF%86%CE%BF%CF%81%CE%AF%CE%B1%CF%82_%CE%A3%CF%85%CF%83%CF%84%CE%B1%CE%B4%CE%BF%CF%80%CE%BF%CE%AF%CE%B7%CF%83%CE%B7_%CE%BA%CE%B1%CE%B9_%CE%9A%CE%B1%CF%84%CE%B7%CE%B3%CE%BF%CF%81%CE%B9%CE%BF%CF%80%CE%BF%CE%AF%CE%B7%CF%83%CE%B7_%CE%BC%CE%B5_%CF%84%CE%BF_Weka_Data_Mining_Clustering_and_Classification_using_Weka_technical_report_?f_ri=60650","dom_id":"work_42988572","summary":"Στη συγκεκριμένη πειραματική μελέτη, το σετ δεδομένων (dataset) που δόθηκε αφορά σε δημογραφικά στοιχεία και στοιχεία χρήσης των υπηρεσιών μιας εταιρείας τηλεπικοινωνιών για ένα πλήθος πελατών της. Στόχος της μελέτης είναι η ομαδοποίηση των πελατών βάσει συγκεκριμένων χαρακτηριστικών και η κατασκευή μοντέλου πρόβλεψης για την περίπτωση αποχώρησης ή παραμονής ενός πελάτη από την εταιρεία.","downloadable_attachments":[{"id":63249697,"asset_id":42988572,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":345681,"first_name":"Pavlos","last_name":"Vasileiadis","domain_name":"auth","page_name":"PVasileiadis","display_name":"Pavlos D Vasileiadis","profile_url":"https://auth.academia.edu/PVasileiadis?f_ri=60650","photo":"https://0.academia-photos.com/345681/2050314/2414927/s65_pavlos.vasileiadis.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35961450" data-work_id="35961450" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35961450/DATA_WAREHOUSING_AND_BUSINESS_INTELLIGENCE_COURSEWORK_1">DATA WAREHOUSING AND BUSINESS INTELLIGENCE COURSEWORK 1</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Mash Industries ltd is a Kenyan manufacturing company specializing in the production of hygiene products. The company was established in 1962 in Nairobi, Kenya the company is committed to developing new products for the east African... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35961450" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Mash Industries ltd is a Kenyan manufacturing company specializing in the production of hygiene products. The company was established in 1962 in Nairobi, Kenya the company is committed to developing new products for the east African market, as well as innovating products to satisfy the ever changing needs & preferences of the fast growing middle-class consumers. The company also manufactures branded products such as soft tissues and sanitary towels for various other supermarket chains, that sell them as own brands. Mash Industries ltd has branches across east Africa, including in Uganda, Tanzania, and Rwanda. They have a catalogue of over 10 brand products. Mash Industries ltd is involved in wholesale of its products through its warehouse outlets, as well as retail sales by way of its chain of five retail shops across the city of Nairobi.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35961450" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="56f8444e7e6482deab55a100fa9c00f3" rel="nofollow" data-download="{"attachment_id":55844394,"asset_id":35961450,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55844394/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="60306516" href="https://mdx.academia.edu/SamTomashi">Sam Tomashi</a><script data-card-contents-for-user="60306516" type="text/json">{"id":60306516,"first_name":"Sam","last_name":"Tomashi","domain_name":"mdx","page_name":"SamTomashi","display_name":"Sam Tomashi","profile_url":"https://mdx.academia.edu/SamTomashi?f_ri=60650","photo":"https://0.academia-photos.com/60306516/19197454/19141687/s65_sam.tomashi.jpg"}</script></span></span></li><li class="js-paper-rank-work_35961450 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35961450"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35961450, container: ".js-paper-rank-work_35961450", }); });</script></li><li class="js-percentile-work_35961450 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35961450; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35961450"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35961450 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35961450"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35961450; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35961450]").text(description); $(".js-view-count-work_35961450").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35961450").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35961450"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7357" href="https://www.academia.edu/Documents/in/Business_Intelligence">Business Intelligence</a>, <script data-card-contents-for-ri="7357" type="text/json">{"id":7357,"name":"Business Intelligence","url":"https://www.academia.edu/Documents/in/Business_Intelligence?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="27360" href="https://www.academia.edu/Documents/in/Databases">Databases</a>, <script data-card-contents-for-ri="27360" type="text/json">{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="34344" href="https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_">Data mining (Data Analysis)</a><script data-card-contents-for-ri="34344" type="text/json">{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35961450]'), work: {"id":35961450,"title":"DATA WAREHOUSING AND BUSINESS INTELLIGENCE COURSEWORK 1","created_at":"2018-02-19T11:31:55.445-08:00","url":"https://www.academia.edu/35961450/DATA_WAREHOUSING_AND_BUSINESS_INTELLIGENCE_COURSEWORK_1?f_ri=60650","dom_id":"work_35961450","summary":"Mash Industries ltd is a Kenyan manufacturing company specializing in the production of hygiene products. The company was established in 1962 in Nairobi, Kenya the company is committed to developing new products for the east African market, as well as innovating products to satisfy the ever changing needs \u0026 preferences of the fast growing middle-class consumers. The company also manufactures branded products such as soft tissues and sanitary towels for various other supermarket chains, that sell them as own brands. Mash Industries ltd has branches across east Africa, including in Uganda, Tanzania, and Rwanda. They have a catalogue of over 10 brand products. Mash Industries ltd is involved in wholesale of its products through its warehouse outlets, as well as retail sales by way of its chain of five retail shops across the city of Nairobi.","downloadable_attachments":[{"id":55844394,"asset_id":35961450,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":60306516,"first_name":"Sam","last_name":"Tomashi","domain_name":"mdx","page_name":"SamTomashi","display_name":"Sam Tomashi","profile_url":"https://mdx.academia.edu/SamTomashi?f_ri=60650","photo":"https://0.academia-photos.com/60306516/19197454/19141687/s65_sam.tomashi.jpg"}],"research_interests":[{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":7357,"name":"Business Intelligence","url":"https://www.academia.edu/Documents/in/Business_Intelligence?f_ri=60650","nofollow":false},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650","nofollow":false},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":101787,"name":"OLAP","url":"https://www.academia.edu/Documents/in/OLAP?f_ri=60650"},{"id":211970,"name":"MAchine Learning Algorithms","url":"https://www.academia.edu/Documents/in/MAchine_Learning_Algorithms?f_ri=60650"},{"id":410581,"name":"Data Mart","url":"https://www.academia.edu/Documents/in/Data_Mart?f_ri=60650"},{"id":2340139,"name":"OLAP cube","url":"https://www.academia.edu/Documents/in/OLAP_cube?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35682641" data-work_id="35682641" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35682641/klasifikasi_naive_bayes_doc">klasifikasi naive bayes.doc</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">klasifikasi naive bayes</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35682641" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f3ce2ab1b4d8696dd98e5c91d9b7227a" rel="nofollow" data-download="{"attachment_id":55553295,"asset_id":35682641,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55553295/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="73175979" href="https://independent.academia.edu/wellapudia">wella pudia</a><script data-card-contents-for-user="73175979" type="text/json">{"id":73175979,"first_name":"wella","last_name":"pudia","domain_name":"independent","page_name":"wellapudia","display_name":"wella pudia","profile_url":"https://independent.academia.edu/wellapudia?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_35682641 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35682641"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35682641, container: ".js-paper-rank-work_35682641", }); });</script></li><li class="js-percentile-work_35682641 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35682641; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35682641"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35682641 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35682641"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35682641; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35682641]").text(description); $(".js-view-count-work_35682641").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35682641").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35682641"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35682641]'), work: {"id":35682641,"title":"klasifikasi naive bayes.doc","created_at":"2018-01-16T06:48:34.437-08:00","url":"https://www.academia.edu/35682641/klasifikasi_naive_bayes_doc?f_ri=60650","dom_id":"work_35682641","summary":"klasifikasi naive bayes","downloadable_attachments":[{"id":55553295,"asset_id":35682641,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":73175979,"first_name":"wella","last_name":"pudia","domain_name":"independent","page_name":"wellapudia","display_name":"wella pudia","profile_url":"https://independent.academia.edu/wellapudia?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_46873520" data-work_id="46873520" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/46873520/Sistemas_e_Tecnologias_de_Informa%C3%A7%C3%A3o_Fundamentos_e_Introdu%C3%A7%C3%A3o_ao_Tema">Sistemas e Tecnologias de Informação - Fundamentos e Introdução ao Tema</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A informação é um dos principais ativos nas organizações, e consequentemente um dos motores da atividade humana, não obstante o tamanho, natureza ou atividade da organização. Na verdade, quanto mais rápida a informação é obtida, mais... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_46873520" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A informação é um dos principais ativos nas organizações, e consequentemente um dos motores da atividade humana, não obstante o tamanho, natureza ou atividade da organização. Na verdade, quanto mais rápida a informação é obtida, mais competitiva pode ser a organização e pode atingir a missão e cumprir objetivos.<br />Qualquer organização moderna recorre às tendências tecnológicas para analisar as melhores possibilidades de proporcionar fatores competitivos de diferenciação e de criação de valor. Consequentemente, os Sistemas e Tecnologias de Informação tornaram-se fatores estratégicos, capazes de criar novas oportunidades de negócio e alcançar novos mercados de forma muito rápida.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/46873520" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3ff610933145b02ee61b984d494d47dc" rel="nofollow" data-download="{"attachment_id":80056755,"asset_id":46873520,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80056755/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="36156391" href="https://independent.academia.edu/Tiago_Nascimento">Tiago Nascimento</a><script data-card-contents-for-user="36156391" type="text/json">{"id":36156391,"first_name":"Tiago","last_name":"Nascimento","domain_name":"independent","page_name":"Tiago_Nascimento","display_name":"Tiago Nascimento","profile_url":"https://independent.academia.edu/Tiago_Nascimento?f_ri=60650","photo":"https://0.academia-photos.com/36156391/12513479/39932356/s65_tiago.nascimento.jpg"}</script></span></span></li><li class="js-paper-rank-work_46873520 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="46873520"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 46873520, container: ".js-paper-rank-work_46873520", }); });</script></li><li class="js-percentile-work_46873520 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46873520; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_46873520"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_46873520 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="46873520"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46873520; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46873520]").text(description); $(".js-view-count-work_46873520").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_46873520").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="46873520"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="26860" href="https://www.academia.edu/Documents/in/Cloud_Computing">Cloud Computing</a>, <script data-card-contents-for-ri="26860" type="text/json">{"id":26860,"name":"Cloud Computing","url":"https://www.academia.edu/Documents/in/Cloud_Computing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="94195" href="https://www.academia.edu/Documents/in/ERP_CRM_Implementation">ERP / CRM Implementation</a>, <script data-card-contents-for-ri="94195" type="text/json">{"id":94195,"name":"ERP / CRM Implementation","url":"https://www.academia.edu/Documents/in/ERP_CRM_Implementation?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="94313" href="https://www.academia.edu/Documents/in/ITIL_and_IT_Service_Management">ITIL and IT Service Management</a><script data-card-contents-for-ri="94313" type="text/json">{"id":94313,"name":"ITIL and IT Service Management","url":"https://www.academia.edu/Documents/in/ITIL_and_IT_Service_Management?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=46873520]'), work: {"id":46873520,"title":"Sistemas e Tecnologias de Informação - Fundamentos e Introdução ao Tema","created_at":"2021-04-14T15:28:15.494-07:00","url":"https://www.academia.edu/46873520/Sistemas_e_Tecnologias_de_Informa%C3%A7%C3%A3o_Fundamentos_e_Introdu%C3%A7%C3%A3o_ao_Tema?f_ri=60650","dom_id":"work_46873520","summary":"A informação é um dos principais ativos nas organizações, e consequentemente um dos motores da atividade humana, não obstante o tamanho, natureza ou atividade da organização. Na verdade, quanto mais rápida a informação é obtida, mais competitiva pode ser a organização e pode atingir a missão e cumprir objetivos.\nQualquer organização moderna recorre às tendências tecnológicas para analisar as melhores possibilidades de proporcionar fatores competitivos de diferenciação e de criação de valor. Consequentemente, os Sistemas e Tecnologias de Informação tornaram-se fatores estratégicos, capazes de criar novas oportunidades de negócio e alcançar novos mercados de forma muito rápida.\n","downloadable_attachments":[{"id":80056755,"asset_id":46873520,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":36156391,"first_name":"Tiago","last_name":"Nascimento","domain_name":"independent","page_name":"Tiago_Nascimento","display_name":"Tiago Nascimento","profile_url":"https://independent.academia.edu/Tiago_Nascimento?f_ri=60650","photo":"https://0.academia-photos.com/36156391/12513479/39932356/s65_tiago.nascimento.jpg"}],"research_interests":[{"id":26860,"name":"Cloud Computing","url":"https://www.academia.edu/Documents/in/Cloud_Computing?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":94195,"name":"ERP / CRM Implementation","url":"https://www.academia.edu/Documents/in/ERP_CRM_Implementation?f_ri=60650","nofollow":false},{"id":94313,"name":"ITIL and IT Service Management","url":"https://www.academia.edu/Documents/in/ITIL_and_IT_Service_Management?f_ri=60650","nofollow":false},{"id":95784,"name":"Sistemas de Informação","url":"https://www.academia.edu/Documents/in/Sistemas_de_Informa%C3%A7%C3%A3o?f_ri=60650"},{"id":103873,"name":"Digital Marketing","url":"https://www.academia.edu/Documents/in/Digital_Marketing?f_ri=60650"},{"id":125193,"name":"Gestão de Serviços","url":"https://www.academia.edu/Documents/in/Gestao_de_Servicos?f_ri=60650"},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650"},{"id":178487,"name":"Tecnologías de la información","url":"https://www.academia.edu/Documents/in/Tecnolog%C3%ADas_de_la_informaci%C3%B3n?f_ri=60650"},{"id":213961,"name":"Riscos Tecnológicos","url":"https://www.academia.edu/Documents/in/Riscos_Tecnologicos?f_ri=60650"},{"id":216512,"name":"Segurança da informação","url":"https://www.academia.edu/Documents/in/Seguranca_da_informacao?f_ri=60650"},{"id":282739,"name":"Gestão de projetos","url":"https://www.academia.edu/Documents/in/Gestao_de_projetos?f_ri=60650"},{"id":367654,"name":"CIO","url":"https://www.academia.edu/Documents/in/CIO?f_ri=60650"},{"id":622624,"name":"Gestão de TI","url":"https://www.academia.edu/Documents/in/Gestao_de_TI?f_ri=60650"},{"id":655712,"name":"Arquitetura de Computadores","url":"https://www.academia.edu/Documents/in/Arquitetura_de_Computadores?f_ri=60650"},{"id":778010,"name":"Novas Tecnologias Da Informação E Da Comunicação","url":"https://www.academia.edu/Documents/in/Novas_Tecnologias_Da_Informacao_E_Da_Comunicacao?f_ri=60650"},{"id":839277,"name":"Tecnologias da Informação e da Comunicação (TIC) na Educação","url":"https://www.academia.edu/Documents/in/Tecnologias_da_Informacao_e_da_Comunicacao_TIC_na_Educacao?f_ri=60650"},{"id":1390697,"name":"Estrategia Empresarial","url":"https://www.academia.edu/Documents/in/Estrategia_Empresarial?f_ri=60650"},{"id":2685274,"name":"privacidade e proteção de dados","url":"https://www.academia.edu/Documents/in/privacidade_e_prote%C3%A7%C3%A3o_de_dados?f_ri=60650"},{"id":2909771,"name":"RGPD","url":"https://www.academia.edu/Documents/in/RGPD?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_19032741" data-work_id="19032741" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/19032741/Multidimensional_Database">Multidimensional Database</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The relational data model, which was introduced by Codd in 1970 and earned him the Turing Award a decade later, was the foundation of today’s multi-billion-dollar database industry. During the 1990s, a new type of data model, the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_19032741" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The relational data model, which was introduced by Codd in 1970 and earned him the Turing Award a<br />decade later, was the foundation of today’s multi-billion-dollar database industry. During the 1990s, a<br />new type of data model, the multidimensional data model, has emerged, which has taken over from the<br />relational model where the objective is to analyze data, rather than to perform on-line transactions.<br />Multidimensional data models are designed expressly to support data analyses. A number of<br />such models have been proposed by researchers from academia and industry. In academia, formal<br />mathematical models have been proposed, while the industrial proposals have typically been specified<br />more or less implicitly by the concrete software tools that implement them.<br />Briefly, multidimensional models categorize data as being either facts with associated numerical measures, or as being dimensions that characterize the facts and are mostly textual. For example, in a retail business, products are sold to customers at certain times in certain amounts and at certain prices. A typical<br />fact would be a purchase. Typical measures would be the amount and price of the purchase. Typical<br />dimensions would be the location of the purchase, the type of product being purchased, and the time of the purchase. Queries then aggregate measure values over ranges of dimension values to produce results<br />such as the total sales per month and product type........</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/19032741" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b7f43f1f8beba58ec3062b8678d4fc71" rel="nofollow" data-download="{"attachment_id":40392964,"asset_id":19032741,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40392964/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9134201" href="https://isg.academia.edu/Mohamedkachbouri">Mohamed kachbouri</a><script data-card-contents-for-user="9134201" type="text/json">{"id":9134201,"first_name":"Mohamed","last_name":"kachbouri","domain_name":"isg","page_name":"Mohamedkachbouri","display_name":"Mohamed kachbouri","profile_url":"https://isg.academia.edu/Mohamedkachbouri?f_ri=60650","photo":"https://0.academia-photos.com/9134201/10538499/16781655/s65_mohamed.kachbouri.jpg"}</script></span></span></li><li class="js-paper-rank-work_19032741 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="19032741"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 19032741, container: ".js-paper-rank-work_19032741", }); });</script></li><li class="js-percentile-work_19032741 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19032741; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_19032741"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_19032741 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="19032741"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19032741; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19032741]").text(description); $(".js-view-count-work_19032741").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_19032741").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="19032741"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="27360" href="https://www.academia.edu/Documents/in/Databases">Databases</a>, <script data-card-contents-for-ri="27360" type="text/json">{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=19032741]'), work: {"id":19032741,"title":"Multidimensional Database","created_at":"2015-11-26T02:19:18.605-08:00","url":"https://www.academia.edu/19032741/Multidimensional_Database?f_ri=60650","dom_id":"work_19032741","summary":"The relational data model, which was introduced by Codd in 1970 and earned him the Turing Award a\ndecade later, was the foundation of today’s multi-billion-dollar database industry. During the 1990s, a\nnew type of data model, the multidimensional data model, has emerged, which has taken over from the\nrelational model where the objective is to analyze data, rather than to perform on-line transactions.\nMultidimensional data models are designed expressly to support data analyses. A number of\nsuch models have been proposed by researchers from academia and industry. In academia, formal\nmathematical models have been proposed, while the industrial proposals have typically been specified\nmore or less implicitly by the concrete software tools that implement them.\nBriefly, multidimensional models categorize data as being either facts with associated numerical measures, or as being dimensions that characterize the facts and are mostly textual. For example, in a retail business, products are sold to customers at certain times in certain amounts and at certain prices. A typical\nfact would be a purchase. Typical measures would be the amount and price of the purchase. Typical\ndimensions would be the location of the purchase, the type of product being purchased, and the time of the purchase. Queries then aggregate measure values over ranges of dimension values to produce results\nsuch as the total sales per month and product type........","downloadable_attachments":[{"id":40392964,"asset_id":19032741,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9134201,"first_name":"Mohamed","last_name":"kachbouri","domain_name":"isg","page_name":"Mohamedkachbouri","display_name":"Mohamed kachbouri","profile_url":"https://isg.academia.edu/Mohamedkachbouri?f_ri=60650","photo":"https://0.academia-photos.com/9134201/10538499/16781655/s65_mohamed.kachbouri.jpg"}],"research_interests":[{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27780836 coauthored" data-work_id="27780836" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27780836/ROLE_OF_DATA_WAREHOUSING_and_DATA_MINING_IN_E_GOVERNANCE">ROLE OF DATA WAREHOUSING & DATA MINING IN E-GOVERNANCE</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">—While E-Governance is defined as being accessible electronically to provide the public with relevant information besides facilitating communication between different government sector, E-Government refers to government use of electronic... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_27780836" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">—While E-Governance is defined as being accessible electronically to provide the public with relevant information besides facilitating communication between different government sector, E-Government refers to government use of electronic resources and technology to conduct its business. It refers to the application of information and communication technology (ICT) by the government with the aim of exchanging information and services among different arms of government, and with its citizens and businesses. This could be done by any government, anywhere in the world. Governments deal with large amount of data. To ensure that such data is put to an effective use in facilitating decision making, a data warehouse and Data Mining techniques are used over the historical data. It permits several types of queries requiring complex analysis on data to be addressed by decision makers. In this paper the focus is on the scope and use of Data Warehousing & Data Mining in all the dimensions of E-Governance like Government to Citizen (G2C), Government to Government (G2G) and Government to Business (G2B). The efficiency of Government can be increased by using the Data Warehouses and Data Mining.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27780836" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8fd02b7b36995d9dd9377c1adb9d4883" rel="nofollow" data-download="{"attachment_id":48061207,"asset_id":27780836,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48061207/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2144564" href="https://hpuniv.academia.edu/SatishSood">Satish Sood</a><script data-card-contents-for-user="2144564" type="text/json">{"id":2144564,"first_name":"Satish","last_name":"Sood","domain_name":"hpuniv","page_name":"SatishSood","display_name":"Satish Sood","profile_url":"https://hpuniv.academia.edu/SatishSood?f_ri=60650","photo":"https://0.academia-photos.com/2144564/13778380/14883567/s65_satish.sood.jpeg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-27780836">+1</span><div class="hidden js-additional-users-27780836"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://himlayanstudies.academia.edu/KishoriBansal">Kishori Bansal</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-27780836'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-27780836').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_27780836 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="27780836"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 27780836, container: ".js-paper-rank-work_27780836", }); });</script></li><li class="js-percentile-work_27780836 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 27780836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_27780836"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_27780836 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="27780836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 27780836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=27780836]").text(description); $(".js-view-count-work_27780836").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_27780836").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="27780836"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=27780836]'), work: {"id":27780836,"title":"ROLE OF DATA WAREHOUSING \u0026 DATA MINING IN E-GOVERNANCE","created_at":"2016-08-15T02:11:32.218-07:00","url":"https://www.academia.edu/27780836/ROLE_OF_DATA_WAREHOUSING_and_DATA_MINING_IN_E_GOVERNANCE?f_ri=60650","dom_id":"work_27780836","summary":"—While E-Governance is defined as being accessible electronically to provide the public with relevant information besides facilitating communication between different government sector, E-Government refers to government use of electronic resources and technology to conduct its business. It refers to the application of information and communication technology (ICT) by the government with the aim of exchanging information and services among different arms of government, and with its citizens and businesses. This could be done by any government, anywhere in the world. Governments deal with large amount of data. To ensure that such data is put to an effective use in facilitating decision making, a data warehouse and Data Mining techniques are used over the historical data. It permits several types of queries requiring complex analysis on data to be addressed by decision makers. In this paper the focus is on the scope and use of Data Warehousing \u0026 Data Mining in all the dimensions of E-Governance like Government to Citizen (G2C), Government to Government (G2G) and Government to Business (G2B). The efficiency of Government can be increased by using the Data Warehouses and Data Mining.","downloadable_attachments":[{"id":48061207,"asset_id":27780836,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2144564,"first_name":"Satish","last_name":"Sood","domain_name":"hpuniv","page_name":"SatishSood","display_name":"Satish Sood","profile_url":"https://hpuniv.academia.edu/SatishSood?f_ri=60650","photo":"https://0.academia-photos.com/2144564/13778380/14883567/s65_satish.sood.jpeg"},{"id":52278837,"first_name":"Kishori","last_name":"Bansal","domain_name":"himlayanstudies","page_name":"KishoriBansal","display_name":"Kishori Bansal","profile_url":"https://himlayanstudies.academia.edu/KishoriBansal?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35563762" data-work_id="35563762" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35563762/PENERAPAN_DATA_MINING_UNTUK_MEMPREDIKSI_HASIL_BELAJAR_MAHASISWA_BERDASARKAN_RIWAYAT_AKADEMIK">PENERAPAN DATA MINING UNTUK MEMPREDIKSI HASIL BELAJAR MAHASISWA BERDASARKAN RIWAYAT AKADEMIK</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstrak Penelitian ini dilakukan untuk menemukan pola hubungan riwayat akademik terhadap hasil belajar mahasiswa yang berupa rule(aturan) melalui penerapan data mining metode decission tree algoritma C.45. Penelitian ini akan... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35563762" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstrak Penelitian ini dilakukan untuk menemukan pola hubungan riwayat akademik terhadap hasil belajar mahasiswa yang berupa rule(aturan) melalui penerapan data mining metode decission tree algoritma C.45. Penelitian ini akan menginformasikan kepada mahasiswa untuk antisipasi dini dalam mengikuti perkuliahan agar mendapatkan hasil belajar yang maksimal. Penelitian juga ini dapat menginformasikan kepada pihak pengajar bahwa dengan perbedaan riwayat akademik diharapkan bagi pengajar dapat menentukan metode belajar yang tepat agar perkuliahan dapat berjalan lancar. Proses data mining dengan metode decission tree algoritma C.45 dimulai dari pembentukan decision system sebagai data awal yang memiliki nilai atribut kondisi dan keputusan. Kemudian menghitung nilai entropy dari masing-masing atribut. Menghitung nilai gain yang tertinggi yang selanjutnya akan digunakan menjadi node. Selajutnya Menentukan keputusan dari hasil proses decission tree dengan menggunakan logika if-then dimulai dari akar tertinggi hingga akar terendah. Penelitian ini menghasilkan 7 buah pola aturan (rule) sebagai landasan dalam memprediksi pencapaian hasil belajar mahasiswa.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35563762" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9f67d94c24b9f4b59af94ea9314170fc" rel="nofollow" data-download="{"attachment_id":55429714,"asset_id":35563762,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55429714/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22876947" href="https://independent.academia.edu/ardiansyahsembiring">Muhammad Ardiansyah</a><script data-card-contents-for-user="22876947" type="text/json">{"id":22876947,"first_name":"Muhammad","last_name":"Ardiansyah","domain_name":"independent","page_name":"ardiansyahsembiring","display_name":"Muhammad Ardiansyah","profile_url":"https://independent.academia.edu/ardiansyahsembiring?f_ri=60650","photo":"https://0.academia-photos.com/22876947/14659613/18666644/s65_ardiansyah.sembiring.jpg"}</script></span></span></li><li class="js-paper-rank-work_35563762 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35563762"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35563762, container: ".js-paper-rank-work_35563762", }); });</script></li><li class="js-percentile-work_35563762 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35563762; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35563762"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35563762 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35563762"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35563762; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35563762]").text(description); $(".js-view-count-work_35563762").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35563762").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35563762"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="465" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="202695" href="https://www.academia.edu/Documents/in/Decission_Support_System">Decission Support System</a><script data-card-contents-for-ri="202695" type="text/json">{"id":202695,"name":"Decission Support System","url":"https://www.academia.edu/Documents/in/Decission_Support_System?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35563762]'), work: {"id":35563762,"title":"PENERAPAN DATA MINING UNTUK MEMPREDIKSI HASIL BELAJAR MAHASISWA BERDASARKAN RIWAYAT AKADEMIK","created_at":"2018-01-02T21:16:36.729-08:00","url":"https://www.academia.edu/35563762/PENERAPAN_DATA_MINING_UNTUK_MEMPREDIKSI_HASIL_BELAJAR_MAHASISWA_BERDASARKAN_RIWAYAT_AKADEMIK?f_ri=60650","dom_id":"work_35563762","summary":"Abstrak Penelitian ini dilakukan untuk menemukan pola hubungan riwayat akademik terhadap hasil belajar mahasiswa yang berupa rule(aturan) melalui penerapan data mining metode decission tree algoritma C.45. Penelitian ini akan menginformasikan kepada mahasiswa untuk antisipasi dini dalam mengikuti perkuliahan agar mendapatkan hasil belajar yang maksimal. Penelitian juga ini dapat menginformasikan kepada pihak pengajar bahwa dengan perbedaan riwayat akademik diharapkan bagi pengajar dapat menentukan metode belajar yang tepat agar perkuliahan dapat berjalan lancar. Proses data mining dengan metode decission tree algoritma C.45 dimulai dari pembentukan decision system sebagai data awal yang memiliki nilai atribut kondisi dan keputusan. Kemudian menghitung nilai entropy dari masing-masing atribut. Menghitung nilai gain yang tertinggi yang selanjutnya akan digunakan menjadi node. Selajutnya Menentukan keputusan dari hasil proses decission tree dengan menggunakan logika if-then dimulai dari akar tertinggi hingga akar terendah. Penelitian ini menghasilkan 7 buah pola aturan (rule) sebagai landasan dalam memprediksi pencapaian hasil belajar mahasiswa.","downloadable_attachments":[{"id":55429714,"asset_id":35563762,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22876947,"first_name":"Muhammad","last_name":"Ardiansyah","domain_name":"independent","page_name":"ardiansyahsembiring","display_name":"Muhammad Ardiansyah","profile_url":"https://independent.academia.edu/ardiansyahsembiring?f_ri=60650","photo":"https://0.academia-photos.com/22876947/14659613/18666644/s65_ardiansyah.sembiring.jpg"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":202695,"name":"Decission Support System","url":"https://www.academia.edu/Documents/in/Decission_Support_System?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43304415" data-work_id="43304415" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43304415/Big_Data_and_Data_Warehousing">Big Data and Data Warehousing</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The project is about Sales Analysis and Inventory management of Super-Max. As we know that sales analysis is one of the essential process of the company, the goal of this coursework is producing a good analytical solution to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43304415" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The project is about Sales Analysis and Inventory management of Super-Max. As we know that sales analysis is one of the essential process of the company, the goal of this  coursework  is  producing  a  good  analytical  solution  to  manage  the  inventory .  By implementing data warehousing and big data technology, items which are more likely to <br />be  on  high  demand  based  on  seasons  and  locations  of  the company  outlets  can  be analysed.  The tasks which are carried out in this project are loading the database of sales and inventory management for identifying fact and dimension table, populating the tables, exporting  the  data  warehouse  database,  migrating  the  data  from  local  file  system  to HDFS, loading data into Hive and Spark and demonstrating manipulation on loaded data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43304415" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4e2925038bd9c39f87872f596c973f87" rel="nofollow" data-download="{"attachment_id":63583196,"asset_id":43304415,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63583196/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="154130469" href="https://independent.academia.edu/HrishavTandukar">Hrishav Tandukar</a><script data-card-contents-for-user="154130469" type="text/json">{"id":154130469,"first_name":"Hrishav","last_name":"Tandukar","domain_name":"independent","page_name":"HrishavTandukar","display_name":"Hrishav Tandukar","profile_url":"https://independent.academia.edu/HrishavTandukar?f_ri=60650","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_43304415 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43304415"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43304415, container: ".js-paper-rank-work_43304415", }); });</script></li><li class="js-percentile-work_43304415 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43304415; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43304415"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43304415 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43304415"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43304415; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43304415]").text(description); $(".js-view-count-work_43304415").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43304415").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43304415"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2008" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a>, <script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="126300" href="https://www.academia.edu/Documents/in/Big_Data">Big Data</a><script data-card-contents-for-ri="126300" type="text/json">{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43304415]'), work: {"id":43304415,"title":"Big Data and Data Warehousing","created_at":"2020-06-10T02:10:09.724-07:00","url":"https://www.academia.edu/43304415/Big_Data_and_Data_Warehousing?f_ri=60650","dom_id":"work_43304415","summary":"The project is about Sales Analysis and Inventory management of Super-Max. As we know that sales analysis is one of the essential process of the company, the goal of this coursework is producing a good analytical solution to manage the inventory . By implementing data warehousing and big data technology, items which are more likely to \nbe on high demand based on seasons and locations of the company outlets can be analysed. The tasks which are carried out in this project are loading the database of sales and inventory management for identifying fact and dimension table, populating the tables, exporting the data warehouse database, migrating the data from local file system to HDFS, loading data into Hive and Spark and demonstrating manipulation on loaded data. ","downloadable_attachments":[{"id":63583196,"asset_id":43304415,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":154130469,"first_name":"Hrishav","last_name":"Tandukar","domain_name":"independent","page_name":"HrishavTandukar","display_name":"Hrishav Tandukar","profile_url":"https://independent.academia.edu/HrishavTandukar?f_ri=60650","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=60650","nofollow":false},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=60650","nofollow":false},{"id":289278,"name":"Big Data Analytics","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics?f_ri=60650"},{"id":449899,"name":"Big Data Visualisation","url":"https://www.academia.edu/Documents/in/Big_Data_Visualisation?f_ri=60650"},{"id":811488,"name":"Big Data Technologies","url":"https://www.academia.edu/Documents/in/Big_Data_Technologies?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_39496296" data-work_id="39496296" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/39496296/A_CUSTOMISABLE_AND_RESPONSIVE_DESIGN_ONLINE_BOOKING_SYSTEM">A CUSTOMISABLE AND RESPONSIVE DESIGN ONLINE BOOKING SYSTEM</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Internet has become the first option to look for hotels when people travel, which makes it a great opportunity for hotels to have a web site with a booking engine included, which will offer comfort to their clients, and expand their sales... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_39496296" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Internet has become the first option to look for hotels when people travel, which makes it a great opportunity for hotels to have a web site with a booking engine included, which will offer comfort to their clients, and expand their sales to a wider market. This paper presents a customisable online booking system, which facilitates the control of room bookings to administrators of small hotels, managing the sales from their own web site; and facilitates and guarantees the bookings for their potential guests. Additionally, the online system can be automatically visualized in different mobile devices, following the responsive web design pattern.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/39496296" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="205aa14d07f89756c45d3edfe7077dae" rel="nofollow" data-download="{"attachment_id":59643691,"asset_id":39496296,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/59643691/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21255813" href="https://independent.academia.edu/IjcsitJournal">International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed</a><script data-card-contents-for-user="21255813" type="text/json">{"id":21255813,"first_name":"International Journal of Computer Science and Information Technology","last_name":"( IJCSIT ) INSPEC ,WJCI Indexed","domain_name":"independent","page_name":"IjcsitJournal","display_name":"International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed","profile_url":"https://independent.academia.edu/IjcsitJournal?f_ri=60650","photo":"https://0.academia-photos.com/21255813/5872009/139167812/s65_international_journal_of_computer_science_and_information_technology._ijcsit_inspec_wjci_indexed.jpg"}</script></span></span></li><li class="js-paper-rank-work_39496296 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="39496296"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 39496296, container: ".js-paper-rank-work_39496296", }); });</script></li><li class="js-percentile-work_39496296 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 39496296; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_39496296"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_39496296 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="39496296"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 39496296; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=39496296]").text(description); $(".js-view-count-work_39496296").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_39496296").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="39496296"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="78" href="https://www.academia.edu/Documents/in/Control_Systems_Engineering">Control Systems Engineering</a>, <script data-card-contents-for-ri="78" type="text/json">{"id":78,"name":"Control Systems Engineering","url":"https://www.academia.edu/Documents/in/Control_Systems_Engineering?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1614" href="https://www.academia.edu/Documents/in/Web_Design">Web Design</a>, <script data-card-contents-for-ri="1614" type="text/json">{"id":1614,"name":"Web Design","url":"https://www.academia.edu/Documents/in/Web_Design?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a><script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=39496296]'), work: {"id":39496296,"title":"A CUSTOMISABLE AND RESPONSIVE DESIGN ONLINE BOOKING SYSTEM","created_at":"2019-06-09T23:44:13.788-07:00","url":"https://www.academia.edu/39496296/A_CUSTOMISABLE_AND_RESPONSIVE_DESIGN_ONLINE_BOOKING_SYSTEM?f_ri=60650","dom_id":"work_39496296","summary":"Internet has become the first option to look for hotels when people travel, which makes it a great opportunity for hotels to have a web site with a booking engine included, which will offer comfort to their clients, and expand their sales to a wider market. This paper presents a customisable online booking system, which facilitates the control of room bookings to administrators of small hotels, managing the sales from their own web site; and facilitates and guarantees the bookings for their potential guests. Additionally, the online system can be automatically visualized in different mobile devices, following the responsive web design pattern.","downloadable_attachments":[{"id":59643691,"asset_id":39496296,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21255813,"first_name":"International Journal of Computer Science and Information Technology","last_name":"( IJCSIT ) INSPEC ,WJCI Indexed","domain_name":"independent","page_name":"IjcsitJournal","display_name":"International Journal of Computer Science and Information Technology ( IJCSIT ) INSPEC ,WJCI Indexed","profile_url":"https://independent.academia.edu/IjcsitJournal?f_ri=60650","photo":"https://0.academia-photos.com/21255813/5872009/139167812/s65_international_journal_of_computer_science_and_information_technology._ijcsit_inspec_wjci_indexed.jpg"}],"research_interests":[{"id":78,"name":"Control Systems Engineering","url":"https://www.academia.edu/Documents/in/Control_Systems_Engineering?f_ri=60650","nofollow":false},{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false},{"id":1614,"name":"Web Design","url":"https://www.academia.edu/Documents/in/Web_Design?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":3419,"name":"Multimedia","url":"https://www.academia.edu/Documents/in/Multimedia?f_ri=60650"},{"id":11598,"name":"Neural Networks","url":"https://www.academia.edu/Documents/in/Neural_Networks?f_ri=60650"},{"id":11820,"name":"Modeling and Simulation","url":"https://www.academia.edu/Documents/in/Modeling_and_Simulation?f_ri=60650"},{"id":13413,"name":"Web page design","url":"https://www.academia.edu/Documents/in/Web_page_design?f_ri=60650"},{"id":16103,"name":"Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_Systems?f_ri=60650"},{"id":17429,"name":"Structural Bioinformatics","url":"https://www.academia.edu/Documents/in/Structural_Bioinformatics?f_ri=60650"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=60650"},{"id":42071,"name":"Online","url":"https://www.academia.edu/Documents/in/Online?f_ri=60650"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":65768,"name":"Website Design","url":"https://www.academia.edu/Documents/in/Website_Design?f_ri=60650"},{"id":66509,"name":"Web Designing","url":"https://www.academia.edu/Documents/in/Web_Designing?f_ri=60650"},{"id":99692,"name":"Multimedia Systems","url":"https://www.academia.edu/Documents/in/Multimedia_Systems?f_ri=60650"},{"id":239715,"name":"Online Booking","url":"https://www.academia.edu/Documents/in/Online_Booking?f_ri=60650"},{"id":252285,"name":"Web Portals","url":"https://www.academia.edu/Documents/in/Web_Portals?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40153351" data-work_id="40153351" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40153351/Most_Cited_Articles_in_Academia_International_Journal_of_Data_Mining_and_Knowledge_Management_Process_IJDKP_">Most Cited Articles in Academia --International Journal of Data Mining & Knowledge Management Process ( IJDKP )</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40153351" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40153351" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1c3cfaaa892472682a7cb5d4f29edc8f" rel="nofollow" data-download="{"attachment_id":60372166,"asset_id":40153351,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60372166/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16715850" href="https://independent.academia.edu/IJDKPJOURNAL">International Journal of Data Mining & Knowledge Management Process ( IJDKP )</a><script data-card-contents-for-user="16715850" type="text/json">{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}</script></span></span></li><li class="js-paper-rank-work_40153351 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40153351"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40153351, container: ".js-paper-rank-work_40153351", }); });</script></li><li class="js-percentile-work_40153351 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40153351; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_40153351"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_40153351 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="40153351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40153351; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40153351]").text(description); $(".js-view-count-work_40153351").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_40153351").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="40153351"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7960" href="https://www.academia.edu/Documents/in/Temporal_Data_Mining">Temporal Data Mining</a>, <script data-card-contents-for-ri="7960" type="text/json">{"id":7960,"name":"Temporal Data Mining","url":"https://www.academia.edu/Documents/in/Temporal_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9447" href="https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_">Stream Mining (Data Mining)</a>, <script data-card-contents-for-ri="9447" type="text/json">{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14494" href="https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_">Opinion Mining (Data Mining)</a><script data-card-contents-for-ri="14494" type="text/json">{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=40153351]'), work: {"id":40153351,"title":"Most Cited Articles in Academia --International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","created_at":"2019-08-23T03:47:12.335-07:00","url":"https://www.academia.edu/40153351/Most_Cited_Articles_in_Academia_International_Journal_of_Data_Mining_and_Knowledge_Management_Process_IJDKP_?f_ri=60650","dom_id":"work_40153351","summary":"Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. ","downloadable_attachments":[{"id":60372166,"asset_id":40153351,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16715850,"first_name":"International Journal of Data Mining \u0026 Knowledge Management Process","last_name":"( IJDKP )","domain_name":"independent","page_name":"IJDKPJOURNAL","display_name":"International Journal of Data Mining \u0026 Knowledge Management Process ( IJDKP )","profile_url":"https://independent.academia.edu/IJDKPJOURNAL?f_ri=60650","photo":"https://0.academia-photos.com/16715850/4568261/39147186/s65_international_journal_of_data_mining_knowledge_management_process._ijdkp_.png"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":7960,"name":"Temporal Data Mining","url":"https://www.academia.edu/Documents/in/Temporal_Data_Mining?f_ri=60650","nofollow":false},{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":15426,"name":"Spatial Data Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Spatial_Data_Mining_Data_Mining_?f_ri=60650"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":39682,"name":"Graph Data Mining","url":"https://www.academia.edu/Documents/in/Graph_Data_Mining?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":93179,"name":"Data Stream Mining","url":"https://www.academia.edu/Documents/in/Data_Stream_Mining?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":194768,"name":"Applications of Data Mining Techniques in Tracing Trends of Bussiness","url":"https://www.academia.edu/Documents/in/Applications_of_Data_Mining_Techniques_in_Tracing_Trends_of_Bussiness?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"},{"id":459269,"name":"Data mining and Text mining","url":"https://www.academia.edu/Documents/in/Data_mining_and_Text_mining?f_ri=60650"},{"id":460675,"name":"Data Mining Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Techniques?f_ri=60650"},{"id":994859,"name":"Data Mining and Business Intelligence","url":"https://www.academia.edu/Documents/in/Data_Mining_and_Business_Intelligence?f_ri=60650"},{"id":1282230,"name":"Data Mining applications","url":"https://www.academia.edu/Documents/in/Data_Mining_applications?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35687666" data-work_id="35687666" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35687666/MAKALAH_KLASTERING_MENGGUNAKAN_ALGORITMA_K_MEANS">MAKALAH KLASTERING MENGGUNAKAN ALGORITMA K-MEANS</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">MAKALAH KLASTERING MENGGUNAKAN ALGORITMA K-MEANS</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35687666" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f901d27729600c798586752556c39597" rel="nofollow" data-download="{"attachment_id":55558353,"asset_id":35687666,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55558353/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22157610" href="https://unisbank.academia.edu/DwiAjiNugroho">Dwi Aji Nugroho</a><script data-card-contents-for-user="22157610" type="text/json">{"id":22157610,"first_name":"Dwi Aji","last_name":"Nugroho","domain_name":"unisbank","page_name":"DwiAjiNugroho","display_name":"Dwi Aji Nugroho","profile_url":"https://unisbank.academia.edu/DwiAjiNugroho?f_ri=60650","photo":"https://0.academia-photos.com/22157610/6066016/6879756/s65_dwi_aji.nugroho.jpg"}</script></span></span></li><li class="js-paper-rank-work_35687666 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35687666"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35687666, container: ".js-paper-rank-work_35687666", }); });</script></li><li class="js-percentile-work_35687666 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35687666; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35687666"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35687666 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35687666"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35687666; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35687666]").text(description); $(".js-view-count-work_35687666").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35687666").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35687666"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35687666]'), work: {"id":35687666,"title":"MAKALAH KLASTERING MENGGUNAKAN ALGORITMA K-MEANS","created_at":"2018-01-16T19:18:53.670-08:00","url":"https://www.academia.edu/35687666/MAKALAH_KLASTERING_MENGGUNAKAN_ALGORITMA_K_MEANS?f_ri=60650","dom_id":"work_35687666","summary":"MAKALAH KLASTERING MENGGUNAKAN ALGORITMA K-MEANS","downloadable_attachments":[{"id":55558353,"asset_id":35687666,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22157610,"first_name":"Dwi Aji","last_name":"Nugroho","domain_name":"unisbank","page_name":"DwiAjiNugroho","display_name":"Dwi Aji Nugroho","profile_url":"https://unisbank.academia.edu/DwiAjiNugroho?f_ri=60650","photo":"https://0.academia-photos.com/22157610/6066016/6879756/s65_dwi_aji.nugroho.jpg"}],"research_interests":[{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44278948" data-work_id="44278948" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44278948/7th_International_Conference_on_Advances_in_Computer_Science_and_Information_Technology_ACSTY_2021_">7th International Conference on Advances in Computer Science and Information Technology (ACSTY 2021)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">7 th International Conference on Advances in Computer Science and Information Technology (ACSTY 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44278948" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">7<br />th International Conference on Advances in Computer Science and Information Technology (ACSTY<br />2021) will provide an excellent international forum for sharing knowledge and results in theory,<br />methodology and applications of Computer Science, Engineering and Information Technology. The<br />conference looks for significant contributions to all major fields of the Computer Science,<br />Engineering and Information Technology in theoretical and practical aspects.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44278948" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b78627635f4ea97d07faa3dab974f4dd" rel="nofollow" data-download="{"attachment_id":68208866,"asset_id":44278948,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68208866/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21181914" href="https://independent.academia.edu/InternationalJournalofAdvancedInformationTechnologyIJAIT">International Journal of Advanced Information Technology (IJAIT)</a><script data-card-contents-for-user="21181914" type="text/json">{"id":21181914,"first_name":"International Journal of Advanced Information Technology","last_name":"(IJAIT)","domain_name":"independent","page_name":"InternationalJournalofAdvancedInformationTechnologyIJAIT","display_name":"International Journal of Advanced Information Technology (IJAIT)","profile_url":"https://independent.academia.edu/InternationalJournalofAdvancedInformationTechnologyIJAIT?f_ri=60650","photo":"https://0.academia-photos.com/21181914/7767232/114799058/s65_international_journal_of_advanced_information_technology._ijait_.png"}</script></span></span></li><li class="js-paper-rank-work_44278948 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44278948"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44278948, container: ".js-paper-rank-work_44278948", }); });</script></li><li class="js-percentile-work_44278948 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44278948; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_44278948"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_44278948 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="44278948"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44278948; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44278948]").text(description); $(".js-view-count-work_44278948").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44278948").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44278948"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="451" href="https://www.academia.edu/Documents/in/Programming_Languages">Programming Languages</a><script data-card-contents-for-ri="451" type="text/json">{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44278948]'), work: {"id":44278948,"title":"7th International Conference on Advances in Computer Science and Information Technology (ACSTY 2021)","created_at":"2020-10-12T03:34:59.227-07:00","url":"https://www.academia.edu/44278948/7th_International_Conference_on_Advances_in_Computer_Science_and_Information_Technology_ACSTY_2021_?f_ri=60650","dom_id":"work_44278948","summary":"7\nth International Conference on Advances in Computer Science and Information Technology (ACSTY\n2021) will provide an excellent international forum for sharing knowledge and results in theory,\nmethodology and applications of Computer Science, Engineering and Information Technology. The\nconference looks for significant contributions to all major fields of the Computer Science,\nEngineering and Information Technology in theoretical and practical aspects.","downloadable_attachments":[{"id":68208866,"asset_id":44278948,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21181914,"first_name":"International Journal of Advanced Information Technology","last_name":"(IJAIT)","domain_name":"independent","page_name":"InternationalJournalofAdvancedInformationTechnologyIJAIT","display_name":"International Journal of Advanced Information Technology (IJAIT)","profile_url":"https://independent.academia.edu/InternationalJournalofAdvancedInformationTechnologyIJAIT?f_ri=60650","photo":"https://0.academia-photos.com/21181914/7767232/114799058/s65_international_journal_of_advanced_information_technology._ijait_.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=60650","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=60650","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=60650","nofollow":false},{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=60650","nofollow":false},{"id":459,"name":"Information Science","url":"https://www.academia.edu/Documents/in/Information_Science?f_ri=60650"},{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=60650"},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=60650"},{"id":1283,"name":"Information Security","url":"https://www.academia.edu/Documents/in/Information_Security?f_ri=60650"},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650"},{"id":7454,"name":"Information Communication Technology","url":"https://www.academia.edu/Documents/in/Information_Communication_Technology?f_ri=60650"},{"id":24038,"name":"Networking","url":"https://www.academia.edu/Documents/in/Networking?f_ri=60650"},{"id":24538,"name":"Computing","url":"https://www.academia.edu/Documents/in/Computing?f_ri=60650"},{"id":26860,"name":"Cloud Computing","url":"https://www.academia.edu/Documents/in/Cloud_Computing?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":45088,"name":"Data Structures and Algorithms","url":"https://www.academia.edu/Documents/in/Data_Structures_and_Algorithms?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":272690,"name":"Computer Sciencee","url":"https://www.academia.edu/Documents/in/Computer_Sciencee?f_ri=60650"},{"id":457721,"name":"Computer Science Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_Engineering?f_ri=60650"},{"id":1226904,"name":"Computer Science and Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Engineering-1?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35838838" data-work_id="35838838" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN">SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35838838" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications and methodologies to mine the information in correct manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making. Data mining has an infinite potential to utilize healthcare data more efficiently and effectually to predict different kind of disease. This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35838838" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c82d5394b2a3e7c57997258ba2960afd" rel="nofollow" data-download="{"attachment_id":55716984,"asset_id":35838838,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55716984/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="74068792" href="https://independent.academia.edu/Journal_IJIST">International Journal of Information Sciences and Techniques (IJIST)</a><script data-card-contents-for-user="74068792" type="text/json">{"id":74068792,"first_name":"International Journal of Information Sciences and Techniques","last_name":"(IJIST)","domain_name":"independent","page_name":"Journal_IJIST","display_name":"International Journal of Information Sciences and Techniques (IJIST)","profile_url":"https://independent.academia.edu/Journal_IJIST?f_ri=60650","photo":"https://0.academia-photos.com/74068792/18783181/111422471/s65_international_journal_of_information_sciences_and_techniques._ijist_.png"}</script></span></span></li><li class="js-paper-rank-work_35838838 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35838838"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35838838, container: ".js-paper-rank-work_35838838", }); });</script></li><li class="js-percentile-work_35838838 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35838838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35838838"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35838838 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35838838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35838838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35838838]").text(description); $(".js-view-count-work_35838838").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35838838").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35838838"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">34</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="465" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7960" href="https://www.academia.edu/Documents/in/Temporal_Data_Mining">Temporal Data Mining</a>, <script data-card-contents-for-ri="7960" type="text/json">{"id":7960,"name":"Temporal Data Mining","url":"https://www.academia.edu/Documents/in/Temporal_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9447" href="https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_">Stream Mining (Data Mining)</a><script data-card-contents-for-ri="9447" type="text/json">{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35838838]'), work: {"id":35838838,"title":"SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN","created_at":"2018-02-04T22:18:27.812-08:00","url":"https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN?f_ri=60650","dom_id":"work_35838838","summary":"Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications and methodologies to mine the information in correct manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making. Data mining has an infinite potential to utilize healthcare data more efficiently and effectually to predict different kind of disease. This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.","downloadable_attachments":[{"id":55716984,"asset_id":35838838,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":74068792,"first_name":"International Journal of Information Sciences and Techniques","last_name":"(IJIST)","domain_name":"independent","page_name":"Journal_IJIST","display_name":"International Journal of Information Sciences and Techniques (IJIST)","profile_url":"https://independent.academia.edu/Journal_IJIST?f_ri=60650","photo":"https://0.academia-photos.com/74068792/18783181/111422471/s65_international_journal_of_information_sciences_and_techniques._ijist_.png"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":7960,"name":"Temporal Data Mining","url":"https://www.academia.edu/Documents/in/Temporal_Data_Mining?f_ri=60650","nofollow":false},{"id":9447,"name":"Stream Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Stream_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":13143,"name":"Clustering Algorithms","url":"https://www.academia.edu/Documents/in/Clustering_Algorithms?f_ri=60650"},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650"},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=60650"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":84990,"name":"Clustering","url":"https://www.academia.edu/Documents/in/Clustering?f_ri=60650"},{"id":93179,"name":"Data Stream Mining","url":"https://www.academia.edu/Documents/in/Data_Stream_Mining?f_ri=60650"},{"id":98032,"name":"Optimization for clustering","url":"https://www.academia.edu/Documents/in/Optimization_for_clustering?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":101195,"name":"Text Clustering","url":"https://www.academia.edu/Documents/in/Text_Clustering?f_ri=60650"},{"id":103911,"name":"XML data clustering","url":"https://www.academia.edu/Documents/in/XML_data_clustering?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":161545,"name":"Document Clustering","url":"https://www.academia.edu/Documents/in/Document_Clustering?f_ri=60650"},{"id":161604,"name":"Clustering Initialization and Robustness","url":"https://www.academia.edu/Documents/in/Clustering_Initialization_and_Robustness?f_ri=60650"},{"id":163785,"name":"Graph Clustering","url":"https://www.academia.edu/Documents/in/Graph_Clustering?f_ri=60650"},{"id":199424,"name":"Data Clustering","url":"https://www.academia.edu/Documents/in/Data_Clustering?f_ri=60650"},{"id":200054,"name":"Web Objects Clustering Through Aggregation for Enhanced Search Results","url":"https://www.academia.edu/Documents/in/Web_Objects_Clustering_Through_Aggregation_for_Enhanced_Search_Results?f_ri=60650"},{"id":218011,"name":"Text Mining, Document clustering, Data Mining","url":"https://www.academia.edu/Documents/in/Text_Mining_Document_clustering_Data_Mining?f_ri=60650"},{"id":247780,"name":"Hierarchical Clustering","url":"https://www.academia.edu/Documents/in/Hierarchical_Clustering?f_ri=60650"},{"id":253578,"name":"American Psychological Association","url":"https://www.academia.edu/Documents/in/American_Psychological_Association?f_ri=60650"},{"id":293560,"name":"Clustering Algorithm in Manet","url":"https://www.academia.edu/Documents/in/Clustering_Algorithm_in_Manet?f_ri=60650"},{"id":307922,"name":"Data Clustering algorithms","url":"https://www.academia.edu/Documents/in/Data_Clustering_algorithms?f_ri=60650"},{"id":311740,"name":"Clustering and routing of mobile ad hoc networks","url":"https://www.academia.edu/Documents/in/Clustering_and_routing_of_mobile_ad_hoc_networks?f_ri=60650"},{"id":343980,"name":"Association Rules","url":"https://www.academia.edu/Documents/in/Association_Rules?f_ri=60650"},{"id":381739,"name":"APELA (Association pour l'étude des littératures africaines)","url":"https://www.academia.edu/Documents/in/APELA_Association_pour_letude_des_litteratures_africaines_?f_ri=60650"},{"id":745683,"name":"Clustering Nature of Gas-Solid Systems","url":"https://www.academia.edu/Documents/in/Clustering_Nature_of_Gas-Solid_Systems?f_ri=60650"},{"id":914128,"name":"Fuzzy C-Means Clustering Algorithm","url":"https://www.academia.edu/Documents/in/Fuzzy_C-Means_Clustering_Algorithm?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35479680" data-work_id="35479680" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35479680/ETL_SKEMA_DAN_MODEL_DATA_PADA_DATA_WAREHOUSE">ETL, SKEMA DAN MODEL DATA PADA DATA WAREHOUSE</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">1. Can we do ETL process manually? ETL (extract, Transform, Load) dapat dilakukan dengan otomatis menggunakan perangkat khusus, juga dapat dilakukan secara manual yakni dengan melakukan penulisan kode pemrograman dengan teknik seperti... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35479680" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">1. Can we do ETL process manually? ETL (extract, Transform, Load) dapat dilakukan dengan otomatis menggunakan perangkat khusus, juga dapat dilakukan secara manual yakni dengan melakukan penulisan kode pemrograman dengan teknik seperti OOP, contoh pada gambar berikut: 2. Do we need special hardware or software in ETL process? Explain your answering, please! Penggunaan perangkat keras dan perangkat lunak dalam proses ETL sangat relatif, artinya jenis dan kapasitasnya ditentukan berdasarkan beberapa aspek, diantaranya jumlah perkiraan data, jenis data, jenis sumber data dan lainnya. Pada dasarnya semua komputer utamanya yang memiliki spesifikasi yang tinggi dapat digunakan untuk proses ETL. Oracle menetapkan spesifikasi minimum berupa: x64 processor, 1,8ghz, 3GB RAM dan 1GB ruang bebas pada hardisk. Namun tentunya semakin tinggi dari spesifikasi minimum tersebut akan menghasilkan performa yang lebih baik. Dari perspektif perangkat lunak, proses ETL dapat dilakukan dengan proses manual, namun cara ini membutuhkan ketelitian dan tingkat kerumitan yang cukup besar. Oleh karena itu proses yang dibutuhkan akan memakan waktu yang lebih lama. Olehnya beberapa vendor menyediakan software-software khusus untuk proses ini, diantaranya yang terkenal adalah Oracle Warehouse Builder (OWB), SAP Data Service, IBM</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35479680" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5881639db613edc67263e7c45253c4bd" rel="nofollow" data-download="{"attachment_id":55342168,"asset_id":35479680,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55342168/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41093619" href="https://unismuh.academia.edu/sayazia">Muhammad Zia ul Haq</a><script data-card-contents-for-user="41093619" type="text/json">{"id":41093619,"first_name":"Muhammad Zia","last_name":"ul Haq","domain_name":"unismuh","page_name":"sayazia","display_name":"Muhammad Zia ul Haq","profile_url":"https://unismuh.academia.edu/sayazia?f_ri=60650","photo":"https://0.academia-photos.com/41093619/13657723/14798205/s65_muh._zia.ul_haq.jpg"}</script></span></span></li><li class="js-paper-rank-work_35479680 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35479680"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35479680, container: ".js-paper-rank-work_35479680", }); });</script></li><li class="js-percentile-work_35479680 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35479680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35479680"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35479680 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35479680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35479680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35479680]").text(description); $(".js-view-count-work_35479680").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35479680").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35479680"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="31060" href="https://www.academia.edu/Documents/in/Data_Modeling">Data Modeling</a>, <script data-card-contents-for-ri="31060" type="text/json">{"id":31060,"name":"Data Modeling","url":"https://www.academia.edu/Documents/in/Data_Modeling?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="296211" href="https://www.academia.edu/Documents/in/ETL_processes">ETL processes</a><script data-card-contents-for-ri="296211" type="text/json">{"id":296211,"name":"ETL processes","url":"https://www.academia.edu/Documents/in/ETL_processes?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35479680]'), work: {"id":35479680,"title":"ETL, SKEMA DAN MODEL DATA PADA DATA WAREHOUSE","created_at":"2017-12-20T10:59:33.081-08:00","url":"https://www.academia.edu/35479680/ETL_SKEMA_DAN_MODEL_DATA_PADA_DATA_WAREHOUSE?f_ri=60650","dom_id":"work_35479680","summary":"1. Can we do ETL process manually? ETL (extract, Transform, Load) dapat dilakukan dengan otomatis menggunakan perangkat khusus, juga dapat dilakukan secara manual yakni dengan melakukan penulisan kode pemrograman dengan teknik seperti OOP, contoh pada gambar berikut: 2. Do we need special hardware or software in ETL process? Explain your answering, please! Penggunaan perangkat keras dan perangkat lunak dalam proses ETL sangat relatif, artinya jenis dan kapasitasnya ditentukan berdasarkan beberapa aspek, diantaranya jumlah perkiraan data, jenis data, jenis sumber data dan lainnya. Pada dasarnya semua komputer utamanya yang memiliki spesifikasi yang tinggi dapat digunakan untuk proses ETL. Oracle menetapkan spesifikasi minimum berupa: x64 processor, 1,8ghz, 3GB RAM dan 1GB ruang bebas pada hardisk. Namun tentunya semakin tinggi dari spesifikasi minimum tersebut akan menghasilkan performa yang lebih baik. Dari perspektif perangkat lunak, proses ETL dapat dilakukan dengan proses manual, namun cara ini membutuhkan ketelitian dan tingkat kerumitan yang cukup besar. Oleh karena itu proses yang dibutuhkan akan memakan waktu yang lebih lama. Olehnya beberapa vendor menyediakan software-software khusus untuk proses ini, diantaranya yang terkenal adalah Oracle Warehouse Builder (OWB), SAP Data Service, IBM","downloadable_attachments":[{"id":55342168,"asset_id":35479680,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41093619,"first_name":"Muhammad Zia","last_name":"ul Haq","domain_name":"unismuh","page_name":"sayazia","display_name":"Muhammad Zia ul Haq","profile_url":"https://unismuh.academia.edu/sayazia?f_ri=60650","photo":"https://0.academia-photos.com/41093619/13657723/14798205/s65_muh._zia.ul_haq.jpg"}],"research_interests":[{"id":31060,"name":"Data Modeling","url":"https://www.academia.edu/Documents/in/Data_Modeling?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":296211,"name":"ETL processes","url":"https://www.academia.edu/Documents/in/ETL_processes?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8384417 coauthored" data-work_id="8384417" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8384417/Rancang_Bangun_Model_Layanan_Fungsi_Menggunakan_Data_Warehouse_Dalam_Penyusunan_Blueprint_Rumah_Sakit_November_2014_">Rancang Bangun Model Layanan Fungsi Menggunakan Data Warehouse Dalam Penyusunan Blueprint Rumah Sakit (November, 2014)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The existence of the hospitals as one of the public facilities has a good impact to the lives of public health. Availability of hospital ICT blueprint is expected to provide lesson for stakeholders to understand the existence and role of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8384417" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The existence of the hospitals as one of the public facilities has a good impact to the lives of public health. Availability of hospital ICT blueprint is expected to provide lesson for stakeholders to understand the existence and role of strategic management and information systems. Completion of function service model derived from operational data management by applying the concept of a data warehouse is expected to improve the quality of information services. Based on interviews, operational data obtained included referral patient registration from health center or clinic , emergency room patient registration, registration of inpatients, public relations and promotional activities. Started from the formation of a star schema table then compiled the dimension tables which are the fact table form which will determine the pattern of relationships to obtain information. Through the use of query commands, various information can be obtained in the decision-making process for strategic management purposes. The research method uses a structured approach based on System Development Life Cycle (SDLC) such as requirement analysis , and system modeling is through the stages of the data warehouse towards business process based on database systems. Results obtained in the form of a model of hospital information function services which produce an improvement for the blueprint. Research outcomes that had been generated is expected to assist management in using the database based functions service model in integrating systems in hospitals. <br />Keywords:  governance, data warehouse, blueprint.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8384417" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f5c1da3f13390cd1e4c8decdaa517bce" rel="nofollow" data-download="{"attachment_id":58723576,"asset_id":8384417,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58723576/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="675410" href="https://atmajayamakassar.academia.edu/NorbertusTriSuswantoSaptadi">Norbertus Tri Suswanto Saptadi</a><script data-card-contents-for-user="675410" type="text/json">{"id":675410,"first_name":"Norbertus","last_name":"Tri Suswanto Saptadi","domain_name":"atmajayamakassar","page_name":"NorbertusTriSuswantoSaptadi","display_name":"Norbertus Tri Suswanto Saptadi","profile_url":"https://atmajayamakassar.academia.edu/NorbertusTriSuswantoSaptadi?f_ri=60650","photo":"https://0.academia-photos.com/675410/955869/10188971/s65_tri_suswanto.saptadi.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-8384417">+1</span><div class="hidden js-additional-users-8384417"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://deakin.academia.edu/HansMarwi">Hans Marwi</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-8384417'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-8384417').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_8384417 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8384417"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8384417, container: ".js-paper-rank-work_8384417", }); });</script></li><li class="js-percentile-work_8384417 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8384417; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8384417"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8384417 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8384417"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8384417; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8384417]").text(description); $(".js-view-count-work_8384417").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8384417").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8384417"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8384417]'), work: {"id":8384417,"title":"Rancang Bangun Model Layanan Fungsi Menggunakan Data Warehouse Dalam Penyusunan Blueprint Rumah Sakit (November, 2014)","created_at":"2014-09-18T11:45:11.230-07:00","url":"https://www.academia.edu/8384417/Rancang_Bangun_Model_Layanan_Fungsi_Menggunakan_Data_Warehouse_Dalam_Penyusunan_Blueprint_Rumah_Sakit_November_2014_?f_ri=60650","dom_id":"work_8384417","summary":"The existence of the hospitals as one of the public facilities has a good impact to the lives of public health. Availability of hospital ICT blueprint is expected to provide lesson for stakeholders to understand the existence and role of strategic management and information systems. Completion of function service model derived from operational data management by applying the concept of a data warehouse is expected to improve the quality of information services. Based on interviews, operational data obtained included referral patient registration from health center or clinic , emergency room patient registration, registration of inpatients, public relations and promotional activities. Started from the formation of a star schema table then compiled the dimension tables which are the fact table form which will determine the pattern of relationships to obtain information. Through the use of query commands, various information can be obtained in the decision-making process for strategic management purposes. The research method uses a structured approach based on System Development Life Cycle (SDLC) such as requirement analysis , and system modeling is through the stages of the data warehouse towards business process based on database systems. Results obtained in the form of a model of hospital information function services which produce an improvement for the blueprint. Research outcomes that had been generated is expected to assist management in using the database based functions service model in integrating systems in hospitals.\r\nKeywords: governance, data warehouse, blueprint.","downloadable_attachments":[{"id":58723576,"asset_id":8384417,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":675410,"first_name":"Norbertus","last_name":"Tri Suswanto Saptadi","domain_name":"atmajayamakassar","page_name":"NorbertusTriSuswantoSaptadi","display_name":"Norbertus Tri Suswanto Saptadi","profile_url":"https://atmajayamakassar.academia.edu/NorbertusTriSuswantoSaptadi?f_ri=60650","photo":"https://0.academia-photos.com/675410/955869/10188971/s65_tri_suswanto.saptadi.jpg"},{"id":9503431,"first_name":"Hans","last_name":"Marwi","domain_name":"deakin","page_name":"HansMarwi","display_name":"Hans Marwi","profile_url":"https://deakin.academia.edu/HansMarwi?f_ri=60650","photo":"https://0.academia-photos.com/9503431/3025125/3553777/s65_hans.marwi.jpg"}],"research_interests":[{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29721385" data-work_id="29721385" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29721385/Data_processing_1">Data processing 1</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29721385" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5d0adcb4130612e1913ec14d23504fc8" rel="nofollow" data-download="{"attachment_id":50173208,"asset_id":29721385,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50173208/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21862863" href="https://independent.academia.edu/indrayanto3">Indra Yanto</a><script data-card-contents-for-user="21862863" type="text/json">{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}</script></span></span></li><li class="js-paper-rank-work_29721385 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29721385"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29721385, container: ".js-paper-rank-work_29721385", }); });</script></li><li class="js-percentile-work_29721385 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29721385; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_29721385"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_29721385 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="29721385"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29721385; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29721385]").text(description); $(".js-view-count-work_29721385").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_29721385").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="29721385"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10601" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a>, <script data-card-contents-for-ri="10601" type="text/json">{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45871" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a>, <script data-card-contents-for-ri="45871" type="text/json">{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56664" href="https://www.academia.edu/Documents/in/DWDM">DWDM</a><script data-card-contents-for-ri="56664" type="text/json">{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29721385]'), work: {"id":29721385,"title":"Data processing 1","created_at":"2016-11-07T15:02:24.186-08:00","url":"https://www.academia.edu/29721385/Data_processing_1?f_ri=60650","dom_id":"work_29721385","summary":"Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.","downloadable_attachments":[{"id":50173208,"asset_id":29721385,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false},{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false},{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_34734284" data-work_id="34734284" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/34734284/Breast_Cancer_Prediction_Using_Data_Mining_Classification_Techniques">Breast Cancer Prediction Using Data Mining Classification Techniques</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Breast cancer poses serious threat to the lives of people and it is the second leading cause of death in women today and the most common cancer in women in developing countries in Nigeria where there are no services in place to aid the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34734284" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Breast cancer poses serious threat to the lives of people and it is the second leading cause of death in women today and the most common cancer in women in developing countries in Nigeria where there are no services in place to aid the early detection of breast cancer in Nigerian women. A number of studies have been undertaken in order to understand the prediction of breast cancer risks using data mining techniques. Hence, this study is focused at using two data mining techniques to predict breast cancer risks in Nigerian patients using the naïve bayes’ and the J48 decision trees algorithms. The performance of both classification techniques was evaluated in order to determine the most efficient and effective model. The J48 decision trees showed a higher accuracy with lower error rates compared to that of the naïve bayes’ method while the evaluation criteria proved the J48 decision trees to be a more effective and efficient classification techniques for the prediction of breast cancer risks among patients of the study location.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34734284" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="59353a5d8cf0587005943f4b5f9e036f" rel="nofollow" data-download="{"attachment_id":54591767,"asset_id":34734284,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54591767/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9869390" href="https://independent.academia.edu/JeremiahBalogun">Jeremiah Balogun</a><script data-card-contents-for-user="9869390" type="text/json">{"id":9869390,"first_name":"Jeremiah","last_name":"Balogun","domain_name":"independent","page_name":"JeremiahBalogun","display_name":"Jeremiah Balogun","profile_url":"https://independent.academia.edu/JeremiahBalogun?f_ri=60650","photo":"https://0.academia-photos.com/9869390/7498819/24318359/s65_jeremiah.balogun.jpg"}</script></span></span></li><li class="js-paper-rank-work_34734284 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="34734284"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 34734284, container: ".js-paper-rank-work_34734284", }); });</script></li><li class="js-percentile-work_34734284 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34734284; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_34734284"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_34734284 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="34734284"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34734284; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34734284]").text(description); $(".js-view-count-work_34734284").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_34734284").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="34734284"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2008" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a>, <script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3317" href="https://www.academia.edu/Documents/in/Health_Informatics">Health Informatics</a>, <script data-card-contents-for-ri="3317" type="text/json">{"id":3317,"name":"Health Informatics","url":"https://www.academia.edu/Documents/in/Health_Informatics?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a>, <script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="327416" href="https://www.academia.edu/Documents/in/Predictive_Modeling">Predictive Modeling</a><script data-card-contents-for-ri="327416" type="text/json">{"id":327416,"name":"Predictive Modeling","url":"https://www.academia.edu/Documents/in/Predictive_Modeling?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=34734284]'), work: {"id":34734284,"title":"Breast Cancer Prediction Using Data Mining Classification Techniques","created_at":"2017-10-01T08:39:34.772-07:00","url":"https://www.academia.edu/34734284/Breast_Cancer_Prediction_Using_Data_Mining_Classification_Techniques?f_ri=60650","dom_id":"work_34734284","summary":"Breast cancer poses serious threat to the lives of people and it is the second leading cause of death in women today and the most common cancer in women in developing countries in Nigeria where there are no services in place to aid the early detection of breast cancer in Nigerian women. A number of studies have been undertaken in order to understand the prediction of breast cancer risks using data mining techniques. Hence, this study is focused at using two data mining techniques to predict breast cancer risks in Nigerian patients using the naïve bayes’ and the J48 decision trees algorithms. The performance of both classification techniques was evaluated in order to determine the most efficient and effective model. The J48 decision trees showed a higher accuracy with lower error rates compared to that of the naïve bayes’ method while the evaluation criteria proved the J48 decision trees to be a more effective and efficient classification techniques for the prediction of breast cancer risks among patients of the study location.","downloadable_attachments":[{"id":54591767,"asset_id":34734284,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9869390,"first_name":"Jeremiah","last_name":"Balogun","domain_name":"independent","page_name":"JeremiahBalogun","display_name":"Jeremiah Balogun","profile_url":"https://independent.academia.edu/JeremiahBalogun?f_ri=60650","photo":"https://0.academia-photos.com/9869390/7498819/24318359/s65_jeremiah.balogun.jpg"}],"research_interests":[{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=60650","nofollow":false},{"id":3317,"name":"Health Informatics","url":"https://www.academia.edu/Documents/in/Health_Informatics?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false},{"id":327416,"name":"Predictive Modeling","url":"https://www.academia.edu/Documents/in/Predictive_Modeling?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75615726" data-work_id="75615726" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75615726/Call_for_Papers_7_th_International_Conference_on_Data_Mining_and_Knowledge_Management_DaKM_2022_">Call for Papers - 7 th International Conference on Data Mining & Knowledge Management (DaKM 2022)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Call for Papers 7 th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75615726" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Call for Papers 7 th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75615726" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dd44bc90aa44435ae75bccd1eb2a2b5c" rel="nofollow" data-download="{"attachment_id":88208175,"asset_id":75615726,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/88208175/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26196263" href="https://independent.academia.edu/journalijwest">International Journal of Web & Semantic Technology (IJWesT)</a><script data-card-contents-for-user="26196263" type="text/json">{"id":26196263,"first_name":"International Journal of Web \u0026 Semantic Technology","last_name":"(IJWesT)","domain_name":"independent","page_name":"journalijwest","display_name":"International Journal of Web \u0026 Semantic Technology (IJWesT)","profile_url":"https://independent.academia.edu/journalijwest?f_ri=60650","photo":"https://0.academia-photos.com/26196263/7208853/161117496/s65_international_journal_of_web_semantic_technology._ijwest_.jpg"}</script></span></span></li><li class="js-paper-rank-work_75615726 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75615726"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75615726, container: ".js-paper-rank-work_75615726", }); });</script></li><li class="js-percentile-work_75615726 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75615726; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75615726"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75615726 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75615726"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75615726; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75615726]").text(description); $(".js-view-count-work_75615726").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75615726").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75615726"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14494" href="https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_">Opinion Mining (Data Mining)</a>, <script data-card-contents-for-ri="14494" type="text/json">{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23995" href="https://www.academia.edu/Documents/in/Educational_Data_Mining">Educational Data Mining</a>, <script data-card-contents-for-ri="23995" type="text/json">{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="32701" href="https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics">Data Mining in Bioinformatics</a><script data-card-contents-for-ri="32701" type="text/json">{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75615726]'), work: {"id":75615726,"title":"Call for Papers - 7 th International Conference on Data Mining \u0026 Knowledge Management (DaKM 2022)","created_at":"2022-04-06T03:47:26.076-07:00","url":"https://www.academia.edu/75615726/Call_for_Papers_7_th_International_Conference_on_Data_Mining_and_Knowledge_Management_DaKM_2022_?f_ri=60650","dom_id":"work_75615726","summary":"Call for Papers 7 th International Conference on Data Mining \u0026 Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.","downloadable_attachments":[{"id":88208175,"asset_id":75615726,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26196263,"first_name":"International Journal of Web \u0026 Semantic Technology","last_name":"(IJWesT)","domain_name":"independent","page_name":"journalijwest","display_name":"International Journal of Web \u0026 Semantic Technology (IJWesT)","profile_url":"https://independent.academia.edu/journalijwest?f_ri=60650","photo":"https://0.academia-photos.com/26196263/7208853/161117496/s65_international_journal_of_web_semantic_technology._ijwest_.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":14494,"name":"Opinion Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Opinion_Mining_Data_Mining_?f_ri=60650","nofollow":false},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=60650","nofollow":false},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=60650","nofollow":false},{"id":32705,"name":"Financial Data Mining (Computer Science)","url":"https://www.academia.edu/Documents/in/Financial_Data_Mining_Computer_Science_?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":93179,"name":"Data Stream Mining","url":"https://www.academia.edu/Documents/in/Data_Stream_Mining?f_ri=60650"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=60650"},{"id":108488,"name":"Data Mining – Concepts and Techniques","url":"https://www.academia.edu/Documents/in/Data_Mining_Concepts_and_Techniques?f_ri=60650"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29721466" data-work_id="29721466" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29721466/Data_processing_2">Data processing 2</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29721466" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c4bd1d5c9df536c7bf85df0e8c65b42f" rel="nofollow" data-download="{"attachment_id":50173241,"asset_id":29721466,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50173241/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21862863" href="https://independent.academia.edu/indrayanto3">Indra Yanto</a><script data-card-contents-for-user="21862863" type="text/json">{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}</script></span></span></li><li class="js-paper-rank-work_29721466 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29721466"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29721466, container: ".js-paper-rank-work_29721466", }); });</script></li><li class="js-percentile-work_29721466 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29721466; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_29721466"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_29721466 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="29721466"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29721466; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29721466]").text(description); $(".js-view-count-work_29721466").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_29721466").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="29721466"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10601" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a>, <script data-card-contents-for-ri="10601" type="text/json">{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45871" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a>, <script data-card-contents-for-ri="45871" type="text/json">{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56664" href="https://www.academia.edu/Documents/in/DWDM">DWDM</a><script data-card-contents-for-ri="56664" type="text/json">{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29721466]'), work: {"id":29721466,"title":"Data processing 2","created_at":"2016-11-07T15:05:28.382-08:00","url":"https://www.academia.edu/29721466/Data_processing_2?f_ri=60650","dom_id":"work_29721466","summary":"Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.","downloadable_attachments":[{"id":50173241,"asset_id":29721466,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false},{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=60650","nofollow":false},{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29721353" data-work_id="29721353" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29721353/Data_Warehousing_dan_OLAP_2">Data Warehousing dan OLAP 2</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29721353" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b2fc90928f4d5fdb2532901121a85567" rel="nofollow" data-download="{"attachment_id":50173152,"asset_id":29721353,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50173152/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21862863" href="https://independent.academia.edu/indrayanto3">Indra Yanto</a><script data-card-contents-for-user="21862863" type="text/json">{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}</script></span></span></li><li class="js-paper-rank-work_29721353 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29721353"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29721353, container: ".js-paper-rank-work_29721353", }); });</script></li><li class="js-percentile-work_29721353 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29721353; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_29721353"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_29721353 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="29721353"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29721353; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29721353]").text(description); $(".js-view-count-work_29721353").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_29721353").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="29721353"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10601" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a>, <script data-card-contents-for-ri="10601" type="text/json">{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56664" href="https://www.academia.edu/Documents/in/DWDM">DWDM</a>, <script data-card-contents-for-ri="56664" type="text/json">{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="60650" href="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining">Data Warehousing and Data Mining</a><script data-card-contents-for-ri="60650" type="text/json">{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29721353]'), work: {"id":29721353,"title":"Data Warehousing dan OLAP 2","created_at":"2016-11-07T14:56:24.647-08:00","url":"https://www.academia.edu/29721353/Data_Warehousing_dan_OLAP_2?f_ri=60650","dom_id":"work_29721353","summary":"Materi ini bukan saya yang membuat, saya hanya membantu pembaca untuk mempermudah mencari materi.","downloadable_attachments":[{"id":50173152,"asset_id":29721353,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21862863,"first_name":"Indra","last_name":"Yanto","domain_name":"independent","page_name":"indrayanto3","display_name":"Indra Yanto","profile_url":"https://independent.academia.edu/indrayanto3?f_ri=60650","photo":"https://0.academia-photos.com/21862863/5999065/15492356/s65_indra.yanto.jpg"}],"research_interests":[{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":10601,"name":"Data Warehousing","url":"https://www.academia.edu/Documents/in/Data_Warehousing?f_ri=60650","nofollow":false},{"id":56664,"name":"DWDM","url":"https://www.academia.edu/Documents/in/DWDM?f_ri=60650","nofollow":false},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38243082" data-work_id="38243082" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38243082/Top_Downloaded_Papers_International_Journal_of_Computer_Science_and_Engineering_Survey_IJCSES_">Top Downloaded Papers --- International Journal of Computer Science and Engineering Survey (IJCSES)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The AIRCC's International Journal of Computer Science and Engineering Survey (IJCSES) is devoted to fields of Computer Science and Engineering surveys, tutorials and overviews. The IJCSES is a peer-reviewed, open access scientific journal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_38243082" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The AIRCC's International Journal of Computer Science and Engineering Survey (IJCSES) is devoted to fields of Computer Science and Engineering surveys, tutorials and overviews. The IJCSES is a peer-reviewed, open access scientific journal published in electronic form as well as print form. The journal will publish research surveys, tutorials and expository overviews in computer science and engineering. Articles from supplementary fields are welcome, as long as they are relevant to computer science and engineering.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38243082" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3b4a2fe178c42e0c9555c990bd8b1295" rel="nofollow" data-download="{"attachment_id":58284598,"asset_id":38243082,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58284598/download_file?st=MTczMjM5Nzg3MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26099471" href="https://independent.academia.edu/JournalIJCSES">International Journal of Computer Science and Engineering Survey (IJCSES)</a><script data-card-contents-for-user="26099471" type="text/json">{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=60650","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}</script></span></span></li><li class="js-paper-rank-work_38243082 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38243082"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38243082, container: ".js-paper-rank-work_38243082", }); });</script></li><li class="js-percentile-work_38243082 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38243082; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_38243082"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_38243082 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="38243082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38243082; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38243082]").text(description); $(".js-view-count-work_38243082").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38243082").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38243082"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="433" href="https://www.academia.edu/Documents/in/Computer_Architecture">Computer Architecture</a>, <script data-card-contents-for-ri="433" type="text/json">{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="449" href="https://www.academia.edu/Documents/in/Software_Engineering">Software Engineering</a>, <script data-card-contents-for-ri="449" type="text/json">{"id":449,"name":"Software Engineering","url":"https://www.academia.edu/Documents/in/Software_Engineering?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5443" href="https://www.academia.edu/Documents/in/Process_Modeling_and_Simulation">Process Modeling and Simulation</a><script data-card-contents-for-ri="5443" type="text/json">{"id":5443,"name":"Process Modeling and Simulation","url":"https://www.academia.edu/Documents/in/Process_Modeling_and_Simulation?f_ri=60650","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38243082]'), work: {"id":38243082,"title":"Top Downloaded Papers --- International Journal of Computer Science and Engineering Survey (IJCSES)","created_at":"2019-01-29T02:57:13.119-08:00","url":"https://www.academia.edu/38243082/Top_Downloaded_Papers_International_Journal_of_Computer_Science_and_Engineering_Survey_IJCSES_?f_ri=60650","dom_id":"work_38243082","summary":"The AIRCC's International Journal of Computer Science and Engineering Survey (IJCSES) is devoted to fields of Computer Science and Engineering surveys, tutorials and overviews. The IJCSES is a peer-reviewed, open access scientific journal published in electronic form as well as print form. The journal will publish research surveys, tutorials and expository overviews in computer science and engineering. Articles from supplementary fields are welcome, as long as they are relevant to computer science and engineering.","downloadable_attachments":[{"id":58284598,"asset_id":38243082,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=60650","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}],"research_interests":[{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=60650","nofollow":false},{"id":449,"name":"Software Engineering","url":"https://www.academia.edu/Documents/in/Software_Engineering?f_ri=60650","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=60650","nofollow":false},{"id":5443,"name":"Process Modeling and Simulation","url":"https://www.academia.edu/Documents/in/Process_Modeling_and_Simulation?f_ri=60650","nofollow":false},{"id":11820,"name":"Modeling and Simulation","url":"https://www.academia.edu/Documents/in/Modeling_and_Simulation?f_ri=60650"},{"id":14338,"name":"Computer Network architecture","url":"https://www.academia.edu/Documents/in/Computer_Network_architecture?f_ri=60650"},{"id":28530,"name":"Software Quality Engineering","url":"https://www.academia.edu/Documents/in/Software_Quality_Engineering?f_ri=60650"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=60650"},{"id":55826,"name":"Software Requirement Engineering","url":"https://www.academia.edu/Documents/in/Software_Requirement_Engineering?f_ri=60650"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=60650"},{"id":76379,"name":"Computer Architecture and Operating Systems","url":"https://www.academia.edu/Documents/in/Computer_Architecture_and_Operating_Systems?f_ri=60650"},{"id":101171,"name":"Computer applications in architecture","url":"https://www.academia.edu/Documents/in/Computer_applications_in_architecture?f_ri=60650"},{"id":168642,"name":"Computer Architecture and Organisation","url":"https://www.academia.edu/Documents/in/Computer_Architecture_and_Organisation?f_ri=60650"},{"id":229241,"name":"Modeling and Simulation of Diesel Engine","url":"https://www.academia.edu/Documents/in/Modeling_and_Simulation_of_Diesel_Engine?f_ri=60650"},{"id":441433,"name":"Computer Networks Protocol and Architecture","url":"https://www.academia.edu/Documents/in/Computer_Networks_Protocol_and_Architecture?f_ri=60650"},{"id":554599,"name":"Computer architectures","url":"https://www.academia.edu/Documents/in/Computer_architectures?f_ri=60650"},{"id":680257,"name":"System Modeling and Simulation","url":"https://www.academia.edu/Documents/in/System_Modeling_and_Simulation?f_ri=60650"},{"id":686346,"name":"Computer Systems Architecture","url":"https://www.academia.edu/Documents/in/Computer_Systems_Architecture?f_ri=60650"},{"id":1228615,"name":"Computer Organization and Architecture","url":"https://www.academia.edu/Documents/in/Computer_Organization_and_Architecture?f_ri=60650"},{"id":1988138,"name":"Algorithms and Bioinformatics","url":"https://www.academia.edu/Documents/in/Algorithms_and_Bioinformatics?f_ri=60650"}]}, }) } })();</script></ul></li></ul></div></div></div><div class="u-taCenter Pagination"><ul class="pagination"><li class="next_page"><a href="/Documents/in/Data_Warehousing_and_Data_Mining?after=50%2C38243082" rel="next">Next</a></li><li class="last next"><a href="/Documents/in/Data_Warehousing_and_Data_Mining?page=last">Last »</a></li></ul></div></div><div class="hidden-xs hidden-sm"><div class="u-pl6x"><div style="width: 300px;"><div class="panel panel-flat u-mt7x"><div class="panel-heading u-p5x"><div class="u-tcGrayDark u-taCenter u-fw700 u-textUppercase">Related Topics</div></div><ul class="list-group"><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Medical_Image_Processing">Medical Image Processing</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="4998">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="4998">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Data_Warehousing">Data Warehousing</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="10601">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="10601">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Optimization_techniques">Optimization techniques</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="10924">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="10924">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Diagram_understanding">Diagram understanding</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="5640">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="5640">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Business_Intelligence">Business Intelligence</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="7357">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="7357">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="422">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="422">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="37">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="37">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="2009">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="2009">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/E-Bussiness">E-Bussiness</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="772839">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="772839">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="45871">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="45871">Following</a></div></li></ul></div></div></div></div></div></div><script>// MIT License // Copyright © 2011 Sebastian Tschan, https://blueimp.net // Permission is hereby granted, free of charge, to any person obtaining a copy of // this software and associated documentation files (the "Software"), to deal in // the Software without restriction, including without limitation the rights to // use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of // the Software, and to permit persons to whom the Software is furnished to do so, // subject to the following conditions: // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS // FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR // COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER // IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN // CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. !function(n){"use strict";function d(n,t){var r=(65535&n)+(65535&t);return(n>>16)+(t>>16)+(r>>16)<<16|65535&r}function f(n,t,r,e,o,u){return d((c=d(d(t,n),d(e,u)))<<(f=o)|c>>>32-f,r);var c,f}function l(n,t,r,e,o,u,c){return f(t&r|~t&e,n,t,o,u,c)}function v(n,t,r,e,o,u,c){return f(t&e|r&~e,n,t,o,u,c)}function g(n,t,r,e,o,u,c){return f(t^r^e,n,t,o,u,c)}function m(n,t,r,e,o,u,c){return f(r^(t|~e),n,t,o,u,c)}function i(n,t){var r,e,o,u;n[t>>5]|=128<<t%32,n[14+(t+64>>>9<<4)]=t;for(var c=1732584193,f=-271733879,i=-1732584194,a=271733878,h=0;h<n.length;h+=16)c=l(r=c,e=f,o=i,u=a,n[h],7,-680876936),a=l(a,c,f,i,n[h+1],12,-389564586),i=l(i,a,c,f,n[h+2],17,606105819),f=l(f,i,a,c,n[h+3],22,-1044525330),c=l(c,f,i,a,n[h+4],7,-176418897),a=l(a,c,f,i,n[h+5],12,1200080426),i=l(i,a,c,f,n[h+6],17,-1473231341),f=l(f,i,a,c,n[h+7],22,-45705983),c=l(c,f,i,a,n[h+8],7,1770035416),a=l(a,c,f,i,n[h+9],12,-1958414417),i=l(i,a,c,f,n[h+10],17,-42063),f=l(f,i,a,c,n[h+11],22,-1990404162),c=l(c,f,i,a,n[h+12],7,1804603682),a=l(a,c,f,i,n[h+13],12,-40341101),i=l(i,a,c,f,n[h+14],17,-1502002290),c=v(c,f=l(f,i,a,c,n[h+15],22,1236535329),i,a,n[h+1],5,-165796510),a=v(a,c,f,i,n[h+6],9,-1069501632),i=v(i,a,c,f,n[h+11],14,643717713),f=v(f,i,a,c,n[h],20,-373897302),c=v(c,f,i,a,n[h+5],5,-701558691),a=v(a,c,f,i,n[h+10],9,38016083),i=v(i,a,c,f,n[h+15],14,-660478335),f=v(f,i,a,c,n[h+4],20,-405537848),c=v(c,f,i,a,n[h+9],5,568446438),a=v(a,c,f,i,n[h+14],9,-1019803690),i=v(i,a,c,f,n[h+3],14,-187363961),f=v(f,i,a,c,n[h+8],20,1163531501),c=v(c,f,i,a,n[h+13],5,-1444681467),a=v(a,c,f,i,n[h+2],9,-51403784),i=v(i,a,c,f,n[h+7],14,1735328473),c=g(c,f=v(f,i,a,c,n[h+12],20,-1926607734),i,a,n[h+5],4,-378558),a=g(a,c,f,i,n[h+8],11,-2022574463),i=g(i,a,c,f,n[h+11],16,1839030562),f=g(f,i,a,c,n[h+14],23,-35309556),c=g(c,f,i,a,n[h+1],4,-1530992060),a=g(a,c,f,i,n[h+4],11,1272893353),i=g(i,a,c,f,n[h+7],16,-155497632),f=g(f,i,a,c,n[h+10],23,-1094730640),c=g(c,f,i,a,n[h+13],4,681279174),a=g(a,c,f,i,n[h],11,-358537222),i=g(i,a,c,f,n[h+3],16,-722521979),f=g(f,i,a,c,n[h+6],23,76029189),c=g(c,f,i,a,n[h+9],4,-640364487),a=g(a,c,f,i,n[h+12],11,-421815835),i=g(i,a,c,f,n[h+15],16,530742520),c=m(c,f=g(f,i,a,c,n[h+2],23,-995338651),i,a,n[h],6,-198630844),a=m(a,c,f,i,n[h+7],10,1126891415),i=m(i,a,c,f,n[h+14],15,-1416354905),f=m(f,i,a,c,n[h+5],21,-57434055),c=m(c,f,i,a,n[h+12],6,1700485571),a=m(a,c,f,i,n[h+3],10,-1894986606),i=m(i,a,c,f,n[h+10],15,-1051523),f=m(f,i,a,c,n[h+1],21,-2054922799),c=m(c,f,i,a,n[h+8],6,1873313359),a=m(a,c,f,i,n[h+15],10,-30611744),i=m(i,a,c,f,n[h+6],15,-1560198380),f=m(f,i,a,c,n[h+13],21,1309151649),c=m(c,f,i,a,n[h+4],6,-145523070),a=m(a,c,f,i,n[h+11],10,-1120210379),i=m(i,a,c,f,n[h+2],15,718787259),f=m(f,i,a,c,n[h+9],21,-343485551),c=d(c,r),f=d(f,e),i=d(i,o),a=d(a,u);return[c,f,i,a]}function a(n){for(var t="",r=32*n.length,e=0;e<r;e+=8)t+=String.fromCharCode(n[e>>5]>>>e%32&255);return t}function h(n){var t=[];for(t[(n.length>>2)-1]=void 0,e=0;e<t.length;e+=1)t[e]=0;for(var r=8*n.length,e=0;e<r;e+=8)t[e>>5]|=(255&n.charCodeAt(e/8))<<e%32;return t}function e(n){for(var t,r="0123456789abcdef",e="",o=0;o<n.length;o+=1)t=n.charCodeAt(o),e+=r.charAt(t>>>4&15)+r.charAt(15&t);return e}function r(n){return unescape(encodeURIComponent(n))}function o(n){return a(i(h(t=r(n)),8*t.length));var t}function u(n,t){return function(n,t){var r,e,o=h(n),u=[],c=[];for(u[15]=c[15]=void 0,16<o.length&&(o=i(o,8*n.length)),r=0;r<16;r+=1)u[r]=909522486^o[r],c[r]=1549556828^o[r];return e=i(u.concat(h(t)),512+8*t.length),a(i(c.concat(e),640))}(r(n),r(t))}function t(n,t,r){return t?r?u(t,n):e(u(t,n)):r?o(n):e(o(n))}"function"==typeof define&&define.amd?define(function(){return t}):"object"==typeof module&&module.exports?module.exports=t:n.md5=t}(this);</script><script>window.AbTest = (function() { return { 'ab_test': (uniqueId, test_name, buckets) => { let override = new URLSearchParams(window.location.search).get(`ab_test[${test_name}]`); if ( override ) { return override; } const bucketNames = buckets.map((bucket) => { return typeof bucket === 'string' ? bucket : Object.keys(bucket)[0]; }); const weights = buckets.map((bucket) => { return typeof bucket === 'string' ? 1 : Object.values(bucket)[0]; }); const total = weights.reduce((sum, weight) => sum + weight); const hash = md5(`${uniqueId}${test_name}`); const hashNum = parseInt(hash.slice(-12), 16); let bucketPoint = total * (hashNum % 100000) / 100000; const bucket = bucketNames.find((_, i) => { if (weights[i] > bucketPoint) { return true; } bucketPoint -= weights[i]; return false; }); return bucket; } }; })();</script><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-landing_url="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><script>function onGoogleOneTapEvent(event) { var momentType = event.getMomentType(); var momentReason = null; if (event.isNotDisplayed()) { momentReason = event.getNotDisplayedReason(); } else if (event.isSkippedMoment()) { momentReason = event.getSkippedReason(); } else if (event.isDismissedMoment()) { momentReason = event.getDismissedReason(); } Aedu.arbitraryEvents.write('GoogleOneTapEvent', { moment_type: momentType, moment_reason: momentReason, }); }</script><script>(function() { var auvid = unescape( document.cookie .split(/; ?/) .find((s) => s.startsWith('auvid')) .substring(6)); var bucket = AbTest.ab_test(auvid, 'lo_ri_one_tap_google_sign_on', ['control', 'one_tap_google_sign_on']); if (bucket === 'control') return; var oneTapTag = document.createElement('script') oneTapTag.async = true oneTapTag.defer = true oneTapTag.src = 'https://accounts.google.com/gsi/client' document.body.appendChild(oneTapTag) })();</script></div></div></div> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "b7f19aae42a0b06558ef2f011f35b206976b6ba1c9064de5795d1970118f04d1", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="wXi1X5y9kSc1MHKszNjF5TSsYxNQxHg0jmGbmnUZeazbaqlz7I3qbQUczk5URH7kXYnfbbE5Y/cnEYizaRg55Q==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="or49PLtLRmTQvI/qRFqtIb8U+WroN0Nsg1u0P05lOry4rCEQy3s9LuCQMwjcxhYg1jFFFAnKWK8qK6cWUmR69Q==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>