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href="https://www.academia.edu/114931162/Market_Basket_Analysis_using_Apriori_Algorithm"><img alt="Research paper thumbnail of Market Basket Analysis using Apriori Algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/111487984/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931162/Market_Basket_Analysis_using_Apriori_Algorithm">Market Basket Analysis using Apriori Algorithm</a></div><div class="wp-workCard_item"><span>International journal of innovative research in computer science & technology</span><span>, May 1, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A Technique that check for dependency for one Data item to another is Association Rule which is a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A Technique that check for dependency for one Data item to another is Association Rule which is an old Data mining approach. Which is used to identify the next product that might interest a customer. The Apriori Algorithm is applied in this for mining frequent products sets and relevant Association rule. With this algorithm we can use this for up-sell and also in cross-sell to show the Association rule with the help of the algorithm. These methods are widely used in global companies, so for the good understanding the companies used the methods to remain up to date that what customers demands with which products. The results helps the big retailers to identify a trend for customers buying patterns, which is very helpful information for the retailers to plan their big business operations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8affa5570a136b519829f3c997c2132" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487984,"asset_id":114931162,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487984/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931162"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931162"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931162; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931160"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931160/System_Application_and_Product"><img alt="Research paper thumbnail of System Application and Product" class="work-thumbnail" src="https://attachments.academia-assets.com/111487970/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931160/System_Application_and_Product">System Application and Product</a></div><div class="wp-workCard_item"><span>International Journal of Advance Research and Innovative Ideas in Education</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="adb5caae93a84a741f3f8be9a2e0a99e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487970,"asset_id":114931160,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487970/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931160"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931160"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931160; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931160]").text(description); $(".js-view-count[data-work-id=114931160]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931160; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931160']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931159"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment"><img alt="Research paper thumbnail of GREEN HOTELS: A Paradigm shift towards saving environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment">GREEN HOTELS: A Paradigm shift towards saving environment</a></div><div class="wp-workCard_item"><span>International Journal of Advance Research and Innovative Ideas in Education</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An ecological Hotel is one which is fully integrated into the environment without damaging the en...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An ecological Hotel is one which is fully integrated into the environment without damaging the environment. The motive of these environment friendly properties is to save water, save energy and reduce solid waste while saving money to help protect the earth. However, they follow a strict green guidelines to ensure that the guests are staying in a safe, nontoxic, and energy efficient accommodation. The purpose of this study is to determine if green hotels actually benefitted from undertaking environmental practices and introducing these practices in marketing strategies. The paper includes an introduction about Green Hotels, its characteristics, architecture and also discusses about various issues to deal with while adopting the approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931159"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931159"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931159; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931159]").text(description); $(".js-view-count[data-work-id=114931159]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931159; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931159']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931159]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931159,"title":"GREEN HOTELS: A Paradigm shift towards saving environment","internal_url":"https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931158"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931158/PREDICTION_and_amp_WARNING"><img alt="Research paper thumbnail of PREDICTION &amp; WARNING" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931158/PREDICTION_and_amp_WARNING">PREDICTION &amp; WARNING</a></div><div class="wp-workCard_item"><span>ACM Sigsoft Software Engineering Notes</span><span>, Feb 11, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Educational data mining is a new discipline, which aims at extracting useful information and thus...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Educational data mining is a new discipline, which aims at extracting useful information and thus knowledge from huge data sets present at Educational Institutions. The main aim for such a discipline is to improve the quality of education by analyzing every parameter that is related to it. This is a Non-Linear Problem. Machine Learning provides various algorithms and approaches to deal with problems related to determining education quality. For the present study, a prediction model based on the Radial Basis Function (RBF) is proposed and its aim is to predict marks obtained by students in a subject that is related to subjects taken during previous semesters. Based on the results of predicted performance thus obtained, students are categorized into groups and the students likely to fail are warned beforehand for improvement.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931158"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931158"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931158; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931158]").text(description); $(".js-view-count[data-work-id=114931158]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931158; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931158']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931157]").text(description); $(".js-view-count[data-work-id=114931157]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931157; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931157']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept"><img alt="Research paper thumbnail of An Image Classifier Using Deep Learning Concept" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept">An Image Classifier Using Deep Learning Concept</a></div><div class="wp-workCard_item"><span>Computer Science and Software Engineering</span><span>, Nov 30, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Deep Learning has emerged as a new area in machine learning and is applied to a number of signal ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Deep Learning has emerged as a new area in machine learning and is applied to a number of signal and image applications. The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional neural networks (CNN) in image classification. The performance of the algorithm is evaluated based on the quality metric known as Mean Squared Error (MSE) and classification accuracy. The graphical representation of the experimental results is given on the basis of MSE against the number of training epochs. The experimental result analysis based on the quality metrics and the graphical representation proves that the algorithm (CNN) gives fairly good classification accuracy for all the tested datasets.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931156; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931156]").text(description); $(".js-view-count[data-work-id=114931156]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931156; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931156']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931156,"title":"An Image Classifier Using Deep Learning Concept","internal_url":"https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931155"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_"><img alt="Research paper thumbnail of IPV6[Internet Protocol Version 6]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_">IPV6[Internet Protocol Version 6]</a></div><div class="wp-workCard_item"><span>Computer Science and Software Engineering</span><span>, Aug 3, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Internet is migrating from IPv4 to IPv6. To determine the features for research test bed prod...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Internet is migrating from IPv4 to IPv6. To determine the features for research test bed product selection, we compare the up-to-date information of IPv4 and IPv6. Currently IPv6 network penetration is still low but it is expected to grow, while IPv4 address pool is projected by Regional Internet Registry to be exhausted by the end of 2011. The reason why uptake of IPv6 is still low is because of high cost of service migration from IPv4 to IPv6, successfully used of IPv4 Network Address Translation for Intranet and unproven return of investment in IPv6 technology. This paper aims to review few migration path from IPv4 to IPV6 and some of the IPV6 products.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931155"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931155; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931155]").text(description); $(".js-view-count[data-work-id=114931155]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931155; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931155']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931155]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931155,"title":"IPV6[Internet Protocol Version 6]","internal_url":"https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931154"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931154/Design_and_Analysis_of_Prediction_Model_Using_Machine_Learning_In_Agriculture"><img alt="Research paper thumbnail of Design and Analysis of Prediction Model Using Machine Learning In Agriculture" class="work-thumbnail" src="https://attachments.academia-assets.com/111487974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931154/Design_and_Analysis_of_Prediction_Model_Using_Machine_Learning_In_Agriculture">Design and Analysis of Prediction Model Using Machine Learning In Agriculture</a></div><div class="wp-workCard_item"><span>International journal of innovative research in computer science & technology</span><span>, May 1, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The reality of worldwide population growth and climate change demand that agriculture production ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The reality of worldwide population growth and climate change demand that agriculture production can be increased. Traditional study findings which are difficult to extend to all conceivable fields since these are dependent on certain soil types, climatic circumstances, and background management combinations that aren't appropriate or transferable to all farms. There is no way for evaluating the efficacy of endless cropping system interactions (including many management practises) to crop production across the World. We demonstrate that dynamic interactions, that cannot be examined in repetitive trials, which are linked with considerable crop output variability and therefore the possibility for big yield gains, using massive databases and artificial intelligence. Our method can help to speed up agricultural research, discover sustainable methods, and meet future food demands. This is a paper attempted that at crop yield prediction using machine learning techniques with historic crop production data. For this, data has been collected from data.gov.in and data.world.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e94f66984311ca837198272c08272153" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487974,"asset_id":114931154,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487974/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931154"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931154"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931154; 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This framework connects the consumer to an online interface to register themselves and book a bed on their name and hospitals to register themselves and provide their details providing a time efficient way to ease the efforts. It securely maintains the data of users in a database working behind.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fd62830321b6754790c2dae8dd2c42a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487977,"asset_id":114931153,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487977/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931153; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931152"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931152/Big_Data_Analysis_Technologies_Traditional_Vs_Existing"><img alt="Research paper thumbnail of Big Data Analysis Technologies Traditional Vs Existing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931152/Big_Data_Analysis_Technologies_Traditional_Vs_Existing">Big Data Analysis Technologies Traditional Vs Existing</a></div><div class="wp-workCard_item"><span>Computer Science and Software Engineering</span><span>, Nov 30, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Analysis of data is important to find the meaningful information contained in it. There are many ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Analysis of data is important to find the meaningful information contained in it. There are many data storage and manipulation tools. Initially data was stored and analysed using files, tables, databases, data warehouse. However, in the current scenario of Big Data, these traditional methods are not efficient enough to do the analysis. Hadoop, open source software which provides support for distributed processing is implemented. In this paper, a detailed explanation about Hadoop and its components is given. Also, comparison of Hadoop components Pig, Hive and Map Reduce with traditional methods is explained.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931152"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931152"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931152; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931152]").text(description); $(".js-view-count[data-work-id=114931152]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931152; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931152']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931152]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931152,"title":"Big Data Analysis Technologies Traditional Vs Existing","internal_url":"https://www.academia.edu/114931152/Big_Data_Analysis_Technologies_Traditional_Vs_Existing","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931150/A_Study_of_Applications_of_RBF_Network"><img alt="Research paper thumbnail of A Study of Applications of RBF Network" class="work-thumbnail" src="https://attachments.academia-assets.com/111487964/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931150/A_Study_of_Applications_of_RBF_Network">A Study of Applications of RBF Network</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, May 16, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Forecasting is a method of making statements about certain event whose actual results have not be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Forecasting is a method of making statements about certain event whose actual results have not been observed. It seems to be an easy process but is actually not. It requires a lot of analysis on current and past outcomes in order to give timely and accurate timely forecasted results.Radial Basis Function (RBF) is a method proposed in machine learning for making predictions and forecasting. It has been used in various real time applications such as weather forecasting, load forecasting, forecasting about number of tourist and many such applications. The paper includes a detailed survey on RBF network on the basis of its evolution and applications. It also covers explanation about combination of RBF with other techniques such as Fuzzy, Neural Networkand Genetic Algorithm.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="65d945cbbae980e0435f81e864e601b4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487964,"asset_id":114931150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487964/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931150; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931149"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931149/Cloud_Silent_Attack_Strategies_Analysis_Alongside_Proposed_Generic_Modelling"><img alt="Research paper thumbnail of Cloud Silent Attack Strategies Analysis Alongside Proposed Generic Modelling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931149/Cloud_Silent_Attack_Strategies_Analysis_Alongside_Proposed_Generic_Modelling">Cloud Silent Attack Strategies Analysis Alongside Proposed Generic Modelling</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Sep 30, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931149"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931149"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931149; 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Traditio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Data processing and analysis has become difficult due the increase in data availability. Traditional methods are inefficient in handling it. So, the need is to analyze and process data in a parallel way. Haddoop solved the problem to some extent but it is difficult to be deployed and require upgraded hardware requirements. This paper proposed a framework for providing support of Hadoop as Service. An algorithm is implemented for data identification and lastl the proposed framework is compared with current system on certain parameters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931148"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931148; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931148]").text(description); $(".js-view-count[data-work-id=114931148]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931148; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931148']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931148]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931148,"title":"Hadoop as a Service On premise Vs over Cloud","internal_url":"https://www.academia.edu/114931148/Hadoop_as_a_Service_On_premise_Vs_over_Cloud","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931147"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931147/Approaches_for_Enhancing_Reliability_of_Software_Product"><img alt="Research paper thumbnail of Approaches for Enhancing Reliability of Software Product" class="work-thumbnail" src="https://attachments.academia-assets.com/111487962/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931147/Approaches_for_Enhancing_Reliability_of_Software_Product">Approaches for Enhancing Reliability of Software Product</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, Mar 15, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In modern world, we are highly dependent upon computer for most of our works. As we know, all com...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In modern world, we are highly dependent upon computer for most of our works. As we know, all computers are controlled by software. So, to operate a computer in a proper manner, software reliability is very necessary. Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. The high complexity of software is the major contributing factor of Software Reliability problems. Various approaches can be used to improve the reliability of software, however, it is hard to balance development time and budget with software reliability. For good reliability, two approaches have to be used, namely, reactive and proactive approach. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931146"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data"><img alt="Research paper thumbnail of Review of Data Analysis Framework for Variety of Big Data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data">Review of Data Analysis Framework for Variety of Big Data</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Nov 20, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Big Data is too large to be handled by traditional methods for analysis. It is a new ubiquitous t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Big Data is too large to be handled by traditional methods for analysis. It is a new ubiquitous term, which describes huge amount of data. Dealing with “Variety”, one of the five characteristics of Big Data is a great challenge. Variety means a range of formats such as structured tables, semi-structured log files, and unstructured text, audio, and video data. Every format of data has its unique framework for analyzing it. In this paper, we present a detailed study about various frameworks for analyzing structured, semi-structured, and unstructured data individually. In addition, some frameworks, which deal with all the three formats together, are also explained.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931146"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931146"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931146; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931146]").text(description); $(".js-view-count[data-work-id=114931146]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931146; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931146']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931146]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931146,"title":"Review of Data Analysis Framework for Variety of Big Data","internal_url":"https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931145"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931145/Big_Data_Technologies_Brief_Overview"><img alt="Research paper thumbnail of Big Data Technologies: Brief Overview" class="work-thumbnail" src="https://attachments.academia-assets.com/111487960/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931145/Big_Data_Technologies_Brief_Overview">Big Data Technologies: Brief Overview</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, Dec 17, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the current scenario, big data is the biggest challenge for the industries to deal with. It is...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the current scenario, big data is the biggest challenge for the industries to deal with. It is characterized by Huge Volume, Heterogeneous unidentified sources, High rate of data generation, inability to extract value information from irrelevant data. There are many approaches been put forward for dealing with this Big Data, some of them are RDBMS, Hadoop, Cloud Computing etc. This review article includes an elicitation of definitions of Big Data from some previous work, its characteristics, applications, various implementation techniques proposed for dealing with Big Data. It also discusses about some of the benchmarks which are proposed by companies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="43c06c0d7ffdc1e25b6813d8cd0897f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487960,"asset_id":114931145,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487960/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931145"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931145"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931145; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931145]").text(description); $(".js-view-count[data-work-id=114931145]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931145; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931145']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931144"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931144/A_Review_of_Machine_Learning_Techniques_over_Big_Data_Case_Studies"><img alt="Research paper thumbnail of A Review of Machine Learning Techniques over Big Data Case Studies" class="work-thumbnail" src="https://attachments.academia-assets.com/111488002/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931144/A_Review_of_Machine_Learning_Techniques_over_Big_Data_Case_Studies">A Review of Machine Learning Techniques over Big Data Case Studies</a></div><div class="wp-workCard_item"><span>Social Science Research Network</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Dat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Data Speed and Data Variation are three major parameters of Big Data. There are many challenges which have tuned up out of which Data Storage, Data Analysis and Data Management are the biggest ones. In order to deal with these challenges, Machine Learning, a subset of Artificial Intelligence provides various tools and techniques. This paper gives a detail about Big Data and Machine Learning. It also includes detailed literature review on various Big Data case studies which are solved by Machine Learning Techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9736491ab7593349e22ab8bb40d90c14" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111488002,"asset_id":114931144,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111488002/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931144"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931144"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931144; 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Which is used to identify the next product that might interest a customer. The Apriori Algorithm is applied in this for mining frequent products sets and relevant Association rule. With this algorithm we can use this for up-sell and also in cross-sell to show the Association rule with the help of the algorithm. These methods are widely used in global companies, so for the good understanding the companies used the methods to remain up to date that what customers demands with which products. The results helps the big retailers to identify a trend for customers buying patterns, which is very helpful information for the retailers to plan their big business operations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8affa5570a136b519829f3c997c2132" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487984,"asset_id":114931162,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487984/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931162"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931162"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931162; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931160"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931160/System_Application_and_Product"><img alt="Research paper thumbnail of System Application and Product" class="work-thumbnail" src="https://attachments.academia-assets.com/111487970/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931160/System_Application_and_Product">System Application and Product</a></div><div class="wp-workCard_item"><span>International Journal of Advance Research and Innovative Ideas in Education</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="adb5caae93a84a741f3f8be9a2e0a99e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487970,"asset_id":114931160,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487970/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931160"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931160"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931160; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931160]").text(description); $(".js-view-count[data-work-id=114931160]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931160; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931160']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931159"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment"><img alt="Research paper thumbnail of GREEN HOTELS: A Paradigm shift towards saving environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment">GREEN HOTELS: A Paradigm shift towards saving environment</a></div><div class="wp-workCard_item"><span>International Journal of Advance Research and Innovative Ideas in Education</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An ecological Hotel is one which is fully integrated into the environment without damaging the en...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An ecological Hotel is one which is fully integrated into the environment without damaging the environment. The motive of these environment friendly properties is to save water, save energy and reduce solid waste while saving money to help protect the earth. However, they follow a strict green guidelines to ensure that the guests are staying in a safe, nontoxic, and energy efficient accommodation. The purpose of this study is to determine if green hotels actually benefitted from undertaking environmental practices and introducing these practices in marketing strategies. The paper includes an introduction about Green Hotels, its characteristics, architecture and also discusses about various issues to deal with while adopting the approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931159"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931159"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931159; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931159]").text(description); $(".js-view-count[data-work-id=114931159]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931159; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931159']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931159]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931159,"title":"GREEN HOTELS: A Paradigm shift towards saving environment","internal_url":"https://www.academia.edu/114931159/GREEN_HOTELS_A_Paradigm_shift_towards_saving_environment","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931158"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931158/PREDICTION_and_amp_WARNING"><img alt="Research paper thumbnail of PREDICTION &amp; WARNING" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931158/PREDICTION_and_amp_WARNING">PREDICTION &amp; WARNING</a></div><div class="wp-workCard_item"><span>ACM Sigsoft Software Engineering Notes</span><span>, Feb 11, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Educational data mining is a new discipline, which aims at extracting useful information and thus...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Educational data mining is a new discipline, which aims at extracting useful information and thus knowledge from huge data sets present at Educational Institutions. The main aim for such a discipline is to improve the quality of education by analyzing every parameter that is related to it. This is a Non-Linear Problem. Machine Learning provides various algorithms and approaches to deal with problems related to determining education quality. For the present study, a prediction model based on the Radial Basis Function (RBF) is proposed and its aim is to predict marks obtained by students in a subject that is related to subjects taken during previous semesters. Based on the results of predicted performance thus obtained, students are categorized into groups and the students likely to fail are warned beforehand for improvement.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931158"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931158"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931158; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931157]").text(description); $(".js-view-count[data-work-id=114931157]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931157; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931157']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept"><img alt="Research paper thumbnail of An Image Classifier Using Deep Learning Concept" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept">An Image Classifier Using Deep Learning Concept</a></div><div class="wp-workCard_item"><span>Computer Science and Software Engineering</span><span>, Nov 30, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Deep Learning has emerged as a new area in machine learning and is applied to a number of signal ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Deep Learning has emerged as a new area in machine learning and is applied to a number of signal and image applications. The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional neural networks (CNN) in image classification. The performance of the algorithm is evaluated based on the quality metric known as Mean Squared Error (MSE) and classification accuracy. The graphical representation of the experimental results is given on the basis of MSE against the number of training epochs. The experimental result analysis based on the quality metrics and the graphical representation proves that the algorithm (CNN) gives fairly good classification accuracy for all the tested datasets.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931156; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931156]").text(description); $(".js-view-count[data-work-id=114931156]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931156; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931156']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931156,"title":"An Image Classifier Using Deep Learning Concept","internal_url":"https://www.academia.edu/114931156/An_Image_Classifier_Using_Deep_Learning_Concept","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931155"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_"><img alt="Research paper thumbnail of IPV6[Internet Protocol Version 6]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_">IPV6[Internet Protocol Version 6]</a></div><div class="wp-workCard_item"><span>Computer Science and Software Engineering</span><span>, Aug 3, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Internet is migrating from IPv4 to IPv6. To determine the features for research test bed prod...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Internet is migrating from IPv4 to IPv6. To determine the features for research test bed product selection, we compare the up-to-date information of IPv4 and IPv6. Currently IPv6 network penetration is still low but it is expected to grow, while IPv4 address pool is projected by Regional Internet Registry to be exhausted by the end of 2011. The reason why uptake of IPv6 is still low is because of high cost of service migration from IPv4 to IPv6, successfully used of IPv4 Network Address Translation for Intranet and unproven return of investment in IPv6 technology. This paper aims to review few migration path from IPv4 to IPV6 and some of the IPV6 products.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931155"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931155; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931155]").text(description); $(".js-view-count[data-work-id=114931155]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931155; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931155']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931155]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931155,"title":"IPV6[Internet Protocol Version 6]","internal_url":"https://www.academia.edu/114931155/IPV6_Internet_Protocol_Version_6_","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931154"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931154/Design_and_Analysis_of_Prediction_Model_Using_Machine_Learning_In_Agriculture"><img alt="Research paper thumbnail of Design and Analysis of Prediction Model Using Machine Learning In Agriculture" class="work-thumbnail" src="https://attachments.academia-assets.com/111487974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931154/Design_and_Analysis_of_Prediction_Model_Using_Machine_Learning_In_Agriculture">Design and Analysis of Prediction Model Using Machine Learning In Agriculture</a></div><div class="wp-workCard_item"><span>International journal of innovative research in computer science & technology</span><span>, May 1, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The reality of worldwide population growth and climate change demand that agriculture production ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The reality of worldwide population growth and climate change demand that agriculture production can be increased. Traditional study findings which are difficult to extend to all conceivable fields since these are dependent on certain soil types, climatic circumstances, and background management combinations that aren't appropriate or transferable to all farms. There is no way for evaluating the efficacy of endless cropping system interactions (including many management practises) to crop production across the World. We demonstrate that dynamic interactions, that cannot be examined in repetitive trials, which are linked with considerable crop output variability and therefore the possibility for big yield gains, using massive databases and artificial intelligence. Our method can help to speed up agricultural research, discover sustainable methods, and meet future food demands. This is a paper attempted that at crop yield prediction using machine learning techniques with historic crop production data. For this, data has been collected from data.gov.in and data.world.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e94f66984311ca837198272c08272153" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487974,"asset_id":114931154,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487974/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931154"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931154"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931154; 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This framework connects the consumer to an online interface to register themselves and book a bed on their name and hospitals to register themselves and provide their details providing a time efficient way to ease the efforts. 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There are many ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Analysis of data is important to find the meaningful information contained in it. There are many data storage and manipulation tools. Initially data was stored and analysed using files, tables, databases, data warehouse. However, in the current scenario of Big Data, these traditional methods are not efficient enough to do the analysis. Hadoop, open source software which provides support for distributed processing is implemented. In this paper, a detailed explanation about Hadoop and its components is given. Also, comparison of Hadoop components Pig, Hive and Map Reduce with traditional methods is explained.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931152"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931152"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931152; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931152]").text(description); $(".js-view-count[data-work-id=114931152]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931152; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931152']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931152]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931152,"title":"Big Data Analysis Technologies Traditional Vs Existing","internal_url":"https://www.academia.edu/114931152/Big_Data_Analysis_Technologies_Traditional_Vs_Existing","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931150/A_Study_of_Applications_of_RBF_Network"><img alt="Research paper thumbnail of A Study of Applications of RBF Network" class="work-thumbnail" src="https://attachments.academia-assets.com/111487964/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931150/A_Study_of_Applications_of_RBF_Network">A Study of Applications of RBF Network</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, May 16, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Forecasting is a method of making statements about certain event whose actual results have not be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Forecasting is a method of making statements about certain event whose actual results have not been observed. It seems to be an easy process but is actually not. It requires a lot of analysis on current and past outcomes in order to give timely and accurate timely forecasted results.Radial Basis Function (RBF) is a method proposed in machine learning for making predictions and forecasting. It has been used in various real time applications such as weather forecasting, load forecasting, forecasting about number of tourist and many such applications. The paper includes a detailed survey on RBF network on the basis of its evolution and applications. It also covers explanation about combination of RBF with other techniques such as Fuzzy, Neural Networkand Genetic Algorithm.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="65d945cbbae980e0435f81e864e601b4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487964,"asset_id":114931150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487964/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931150; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931149"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931149/Cloud_Silent_Attack_Strategies_Analysis_Alongside_Proposed_Generic_Modelling"><img alt="Research paper thumbnail of Cloud Silent Attack Strategies Analysis Alongside Proposed Generic Modelling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931149/Cloud_Silent_Attack_Strategies_Analysis_Alongside_Proposed_Generic_Modelling">Cloud Silent Attack Strategies Analysis Alongside Proposed Generic Modelling</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Sep 30, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931149"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931149"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931149; 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Traditio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Data processing and analysis has become difficult due the increase in data availability. Traditional methods are inefficient in handling it. So, the need is to analyze and process data in a parallel way. Haddoop solved the problem to some extent but it is difficult to be deployed and require upgraded hardware requirements. This paper proposed a framework for providing support of Hadoop as Service. An algorithm is implemented for data identification and lastl the proposed framework is compared with current system on certain parameters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931148"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931148; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931148]").text(description); $(".js-view-count[data-work-id=114931148]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931148; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931148']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931148]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931148,"title":"Hadoop as a Service On premise Vs over Cloud","internal_url":"https://www.academia.edu/114931148/Hadoop_as_a_Service_On_premise_Vs_over_Cloud","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931147"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931147/Approaches_for_Enhancing_Reliability_of_Software_Product"><img alt="Research paper thumbnail of Approaches for Enhancing Reliability of Software Product" class="work-thumbnail" src="https://attachments.academia-assets.com/111487962/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931147/Approaches_for_Enhancing_Reliability_of_Software_Product">Approaches for Enhancing Reliability of Software Product</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, Mar 15, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In modern world, we are highly dependent upon computer for most of our works. As we know, all com...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In modern world, we are highly dependent upon computer for most of our works. As we know, all computers are controlled by software. So, to operate a computer in a proper manner, software reliability is very necessary. Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. The high complexity of software is the major contributing factor of Software Reliability problems. Various approaches can be used to improve the reliability of software, however, it is hard to balance development time and budget with software reliability. For good reliability, two approaches have to be used, namely, reactive and proactive approach. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931146"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data"><img alt="Research paper thumbnail of Review of Data Analysis Framework for Variety of Big Data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data">Review of Data Analysis Framework for Variety of Big Data</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Nov 20, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Big Data is too large to be handled by traditional methods for analysis. It is a new ubiquitous t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Big Data is too large to be handled by traditional methods for analysis. It is a new ubiquitous term, which describes huge amount of data. Dealing with “Variety”, one of the five characteristics of Big Data is a great challenge. Variety means a range of formats such as structured tables, semi-structured log files, and unstructured text, audio, and video data. Every format of data has its unique framework for analyzing it. In this paper, we present a detailed study about various frameworks for analyzing structured, semi-structured, and unstructured data individually. In addition, some frameworks, which deal with all the three formats together, are also explained.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931146"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931146"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931146; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931146]").text(description); $(".js-view-count[data-work-id=114931146]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931146; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931146']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=114931146]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114931146,"title":"Review of Data Analysis Framework for Variety of Big Data","internal_url":"https://www.academia.edu/114931146/Review_of_Data_Analysis_Framework_for_Variety_of_Big_Data","owner_id":237720281,"coauthors_can_edit":true,"owner":{"id":237720281,"first_name":"Dr. Yojna","middle_initials":null,"last_name":"Arora","page_name":"DrYojnaArora","domain_name":"independent","created_at":"2022-09-27T02:14:15.022-07:00","display_name":"Dr. Yojna Arora","url":"https://independent.academia.edu/DrYojnaArora"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931145"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931145/Big_Data_Technologies_Brief_Overview"><img alt="Research paper thumbnail of Big Data Technologies: Brief Overview" class="work-thumbnail" src="https://attachments.academia-assets.com/111487960/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931145/Big_Data_Technologies_Brief_Overview">Big Data Technologies: Brief Overview</a></div><div class="wp-workCard_item"><span>International journal of computer applications</span><span>, Dec 17, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the current scenario, big data is the biggest challenge for the industries to deal with. It is...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the current scenario, big data is the biggest challenge for the industries to deal with. It is characterized by Huge Volume, Heterogeneous unidentified sources, High rate of data generation, inability to extract value information from irrelevant data. There are many approaches been put forward for dealing with this Big Data, some of them are RDBMS, Hadoop, Cloud Computing etc. This review article includes an elicitation of definitions of Big Data from some previous work, its characteristics, applications, various implementation techniques proposed for dealing with Big Data. It also discusses about some of the benchmarks which are proposed by companies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="43c06c0d7ffdc1e25b6813d8cd0897f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487960,"asset_id":114931145,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487960/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931145"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931145"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931145; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114931145]").text(description); $(".js-view-count[data-work-id=114931145]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114931145; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114931145']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931144"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114931144/A_Review_of_Machine_Learning_Techniques_over_Big_Data_Case_Studies"><img alt="Research paper thumbnail of A Review of Machine Learning Techniques over Big Data Case Studies" class="work-thumbnail" src="https://attachments.academia-assets.com/111488002/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114931144/A_Review_of_Machine_Learning_Techniques_over_Big_Data_Case_Studies">A Review of Machine Learning Techniques over Big Data Case Studies</a></div><div class="wp-workCard_item"><span>Social Science Research Network</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Dat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Data Speed and Data Variation are three major parameters of Big Data. There are many challenges which have tuned up out of which Data Storage, Data Analysis and Data Management are the biggest ones. In order to deal with these challenges, Machine Learning, a subset of Artificial Intelligence provides various tools and techniques. This paper gives a detail about Big Data and Machine Learning. It also includes detailed literature review on various Big Data case studies which are solved by Machine Learning Techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9736491ab7593349e22ab8bb40d90c14" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111488002,"asset_id":114931144,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111488002/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931144"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931144"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931144; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114931142"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/114931142/Twitter_Data_Analysis_using_Hadoop"><img alt="Research paper thumbnail of Twitter Data Analysis using Hadoop" class="work-thumbnail" src="https://attachments.academia-assets.com/111487959/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/114931142/Twitter_Data_Analysis_using_Hadoop">Twitter Data Analysis using Hadoop</a></div><div class="wp-workCard_item"><span>International Journal of Advance Research and Innovative Ideas in Education</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9ccf32fecd6ea34f4d4fe4806904c72c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111487959,"asset_id":114931142,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111487959/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114931142"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114931142"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114931142; 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