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Generally used in a sale, the most relevant shopping cart data is used. This methodology has been widely applied in different multinational or foreign industries and is very useful in consumer buying preferences. Technology advances change business trends dramatically, shifting customer demands require increased surgical accuracy of business. In this research, the writer wants to analyze the shopping cart using apriori algorithm, with a dataset from the Kaggle web. Using anaconda software features with the Python programming language is expected to create knowledge overwriting consumer buying patterns. In conclusion, this pattern can be used to support industry in managing its company activities.","author":[{"@context":"https://schema.org","@type":"Person","name":"Susy Rahmawati"}],"contributor":[],"dateCreated":"2022-04-11","dateModified":"2022-04-11","datePublished":"2021-01-01","headline":"Implementation of Data Mining in Shopping Cart Analysis using the Apriori Algorithm","inLanguage":"en","keywords":[],"locationCreated":null,"publication":"Internasional Journal of Data Science, Engineering, and Anaylitics","publisher":{"@context":"https://schema.org","@type":"Organization","name":"University of Pembangunan Nasional Veteran Jawa Timur"},"image":null,"thumbnailUrl":null,"url":"https://www.academia.edu/76175456/Implementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm","sourceOrganization":[{"@context":"https://schema.org","@type":"EducationalOrganization","name":"fitri"}]}</script><link rel="stylesheet" media="all" 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"https://www.academia.edu/login?post_login_redirect_url=https%3A%2F%2Fwww.academia.edu%2F76175456%2FImplementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm%3Fauto%3Ddownload"; window.loswp.translateUrl = "https://www.academia.edu/login?post_login_redirect_url=https%3A%2F%2Fwww.academia.edu%2F76175456%2FImplementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm%3Fshow_translation%3Dtrue"; window.loswp.previewableAttachments = [{"id":83933590,"identifier":"Attachment_83933590","shouldShowBulkDownload":false}]; window.loswp.shouldDetectTimezone = true; window.loswp.shouldShowBulkDownload = true; window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":76175456,"created_at":"2022-04-11T20:27:53.103-07:00","from_world_paper_id":201468502,"updated_at":"2022-04-26T05:08:12.890-07:00","_data":{"abstract":"Market basket analysis is one of the techniques of knowledge mining used in a broad dataset or database to find a collection of items that are interwoven. Generally used in a sale, the most relevant shopping cart data is used. This methodology has been widely applied in different multinational or foreign industries and is very useful in consumer buying preferences. Technology advances change business trends dramatically, shifting customer demands require increased surgical accuracy of business. In this research, the writer wants to analyze the shopping cart using apriori algorithm, with a dataset from the Kaggle web. Using anaconda software features with the Python programming language is expected to create knowledge overwriting consumer buying patterns. In conclusion, this pattern can be used to support industry in managing its company activities.","publisher":"University of Pembangunan Nasional Veteran Jawa Timur","publication_date":"2021,,","publication_name":"Internasional Journal of Data Science, Engineering, and Anaylitics"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Implementation of Data Mining in Shopping Cart Analysis using the Apriori Algorithm","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [97581427]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":83933590,"attachmentType":"pdf"}"><img alt="First page of “Implementation of Data Mining in Shopping Cart Analysis using the Apriori Algorithm”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/83933590/mini_magick20220411-22798-bdfog3.png?1649742377" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Implementation of Data Mining in Shopping Cart Analysis using the Apriori Algorithm</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="97581427" href="https://fitri.academia.edu/SusyRahmawati"><img alt="Profile image of Susy Rahmawati" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/97581427/23015642/22142341/s65_susy.rahmawati.jpg" />Susy Rahmawati</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2021, Internasional Journal of Data Science, Engineering, and Anaylitics</p></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">Market basket analysis is one of the techniques of knowledge mining used in a broad dataset or database to find a collection of items that are interwoven. Generally used in a sale, the most relevant shopping cart data is used. This methodology has been widely applied in different multinational or foreign industries and is very useful in consumer buying preferences. Technology advances change business trends dramatically, shifting customer demands require increased surgical accuracy of business. In this research, the writer wants to analyze the shopping cart using apriori algorithm, with a dataset from the Kaggle web. Using anaconda software features with the Python programming language is expected to create knowledge overwriting consumer buying patterns. In conclusion, this pattern can be used to support industry in managing its company activities.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":83933590,"attachmentType":"pdf","workUrl":"https://www.academia.edu/76175456/Implementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":83933590,"attachmentType":"pdf","workUrl":"https://www.academia.edu/76175456/Implementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="83933590" data-landing_url="https://www.academia.edu/76175456/Implementation_of_Data_Mining_in_Shopping_Cart_Analysis_using_the_Apriori_Algorithm" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="114931136" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/114931136/Market_Basket_Analysis_using_Apriori_Algorithm">Market Basket Analysis using Apriori Algorithm</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="237720281" href="https://independent.academia.edu/DrYojnaArora">Dr. Yojna Arora</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Innovative Research in Computer Science &amp; Technology</p><p class="ds-related-work--abstract ds2-5-body-sm">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.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Market Basket Analysis using Apriori Algorithm","attachmentId":111488001,"attachmentType":"pdf","work_url":"https://www.academia.edu/114931136/Market_Basket_Analysis_using_Apriori_Algorithm","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/114931136/Market_Basket_Analysis_using_Apriori_Algorithm"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="92385486" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/92385486/Market_Basket_Analysis_on_Transaction_Data_Using_the_Apriori_Algorithm">Market Basket Analysis on Transaction Data Using the Apriori Algorithm</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="30858500" href="https://independent.academia.edu/srikarnila">sri karnila</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Jurnal TAM (Technology Acceptance Model)</p><p class="ds-related-work--abstract ds2-5-body-sm">This research aims to get information about the relationship between sales patterns carried out by CV. Dian Abadi Jaya workshop by using APRIORI algorithms through transaction data sets carried out by customers. The subject of research is a record of shopping cart transactions made by customers, namely vehicle parts sales transactions and vehicle repair service transactions. The data collection techniques used are interviews and documentation. The criteria used in this research are a minimum of frequent itemset of 20 transactions with support criteria of 1,7%, confidence value of 40% and lift ratio value above 1. The results of the research have produced 9 sales pattern relationships with the highest confidence of 100%. The results that have been obtained are expected to help the CV. Dian Abadi Jaya workshop in making a decision for the next sale.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Market Basket Analysis on Transaction Data Using the Apriori Algorithm","attachmentId":95407778,"attachmentType":"pdf","work_url":"https://www.academia.edu/92385486/Market_Basket_Analysis_on_Transaction_Data_Using_the_Apriori_Algorithm","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/92385486/Market_Basket_Analysis_on_Transaction_Data_Using_the_Apriori_Algorithm"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="78003729" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/78003729/Study_of_application_of_data_mining_market_basket_analysis_for_knowing_sales_pattern_association_of_items_at_the_O_Fish_restaurant_using_apriori_algorithm">Study of application of data mining market basket analysis for knowing sales pattern (association of items) at the O! Fish restaurant using apriori algorithm</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="32637228" href="https://buddhidharma.academia.edu/YohanesIsharianto">Yohanes Isharianto</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Physics: Conference Series, 2019</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Study of application of data mining market basket analysis for knowing sales pattern (association of items) at the O! Fish restaurant using apriori algorithm","attachmentId":85201079,"attachmentType":"pdf","work_url":"https://www.academia.edu/78003729/Study_of_application_of_data_mining_market_basket_analysis_for_knowing_sales_pattern_association_of_items_at_the_O_Fish_restaurant_using_apriori_algorithm","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/78003729/Study_of_application_of_data_mining_market_basket_analysis_for_knowing_sales_pattern_association_of_items_at_the_O_Fish_restaurant_using_apriori_algorithm"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="88754820" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/88754820/Basket_Market_Analysis_Using_R_Based_Apriori_Algorithm_to_Find_Information_from_Sales_Data">Basket Market Analysis Using R-Based Apriori Algorithm to Find Information from Sales Data</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="99479654" href="https://independent.academia.edu/IrvanSutarha">Irvan Sutarha</a></div><p class="ds-related-work--metadata ds2-5-body-xs">INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT)</p><p class="ds-related-work--abstract ds2-5-body-sm">Market Basket Analysis is a data mining technique that is used to determine which products a customer will buy simultaneously by analyzing a list of customer transactions. By knowing these products, an e-commerce system can create or develop a customer profile system and can determine its own customer catalog layout. This journal discusses data mining techniques, with association rules that can help check customer buying behavior and increase sales. The result can provide reference prices for cross selling, designing promotions and placing merchandise in stores increasing sales</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Basket Market Analysis Using R-Based Apriori Algorithm to Find Information from Sales Data","attachmentId":92670222,"attachmentType":"pdf","work_url":"https://www.academia.edu/88754820/Basket_Market_Analysis_Using_R_Based_Apriori_Algorithm_to_Find_Information_from_Sales_Data","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/88754820/Basket_Market_Analysis_Using_R_Based_Apriori_Algorithm_to_Find_Information_from_Sales_Data"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="83804620" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/83804620/A_Technical_Analysis_of_Market_Basket_by_using_Association_Rule_Mining_and_Apriori_Algorithm">A Technical Analysis of Market Basket by using Association Rule Mining and Apriori Algorithm</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="23540429" href="https://rvsgroup.academia.edu/GracePadma">Grace Padma</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2017</p><p class="ds-related-work--abstract ds2-5-body-sm">Data mining refers to extracting knowledge from large amount of data. Market basket analysis is a data mining technique to discover associations between datasets. Association rule mining identifies relationship between a large set of data items. When large quantity of data is constantly obtained and stored in databases, several industries is becoming concerned in mining association rules from their databases. For example, the detection of interesting association relationships between large quantities of business transaction data can help in catalog design, cross-marketing and various businesses decision making processes. A typical example of association rule mining is market basket analysis. This method examines customer buying patterns by identifying associations among various items that customers place in their shopping baskets. The identification of such associations can assist retailers expand marketing strategies by gaining insight into which items are frequently purchased by c...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Technical Analysis of Market Basket by using Association Rule Mining and Apriori Algorithm","attachmentId":89031927,"attachmentType":"pdf","work_url":"https://www.academia.edu/83804620/A_Technical_Analysis_of_Market_Basket_by_using_Association_Rule_Mining_and_Apriori_Algorithm","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/83804620/A_Technical_Analysis_of_Market_Basket_by_using_Association_Rule_Mining_and_Apriori_Algorithm"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="91230178" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/91230178/Implementation_of_Apriori_Algorithm_for_Analysis_of_Consumer_Purchase_Patterns">Implementation of Apriori Algorithm for Analysis of Consumer Purchase Patterns</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="159974025" href="https://independent.academia.edu/RonalWatrianthos">Ronal Watrianthos</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Physics: Conference Series, 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Consumer purchasing patterns are a form of purchases made by consumers, whether someone or a lot of people to get the desired item by making a purchase transaction. One characteristic of the purchase pattern is the existence of acquiring something through exchanging money. This study aims to create an application that is used in determining consumer purchasing patterns by applying a priori algorithms and using Visual Basic 2010 as a tool for determining consumer purchase patterns. This application uses a priori algorithm calculation method where the sample consumer purchase data will be sorted and calculated by providing the value of the minium support and configuration parameters and based on the results of confidence the largest number of conclusions such as: can be used as information for determining sales, the application of a priori algorithms can provide information pattern combination item set from consumer purchase data that is with support above 15% and confidence above 50%...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Implementation of Apriori Algorithm for Analysis of Consumer Purchase Patterns","attachmentId":94575789,"attachmentType":"pdf","work_url":"https://www.academia.edu/91230178/Implementation_of_Apriori_Algorithm_for_Analysis_of_Consumer_Purchase_Patterns","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/91230178/Implementation_of_Apriori_Algorithm_for_Analysis_of_Consumer_Purchase_Patterns"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="43855915" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/43855915/IJERT_Association_Rule_Mining_using_Apriori_Algorithm_for_Extracting_Product_Sales_Patterns_in_Groceries">IJERT-Association Rule Mining using Apriori Algorithm for Extracting Product Sales Patterns in Groceries</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="109571315" href="https://independent.academia.edu/IJERTORG">IJERT Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Engineering Research and Technology (IJERT), 2020</p><p class="ds-related-work--abstract ds2-5-body-sm">https://www.ijert.org/association-rule-mining-using-apriori-algorithm-for-extracting-product-sales-patterns-in-groceries https://www.ijert.org/research/association-rule-mining-using-apriori-algorithm-for-extracting-product-sales-patterns-in-groceries-IJERTCONV8IS03007.pdf Association Rule Mining is used for finding the patterns, associations and relationships in dataset. The rule is used for identifying the frequently occurs in item set. It helps to retailers to identify relationships among the items that people buy together frequently. It involves machine learning models to analyze the dataset for predicting patterns and co-occurrence. Many algorithms are used to generate the association rules. In this paper, we implemented apriori algorithm using R tool.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IJERT-Association Rule Mining using Apriori Algorithm for Extracting Product Sales Patterns in Groceries","attachmentId":64179130,"attachmentType":"pdf","work_url":"https://www.academia.edu/43855915/IJERT_Association_Rule_Mining_using_Apriori_Algorithm_for_Extracting_Product_Sales_Patterns_in_Groceries","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/43855915/IJERT_Association_Rule_Mining_using_Apriori_Algorithm_for_Extracting_Product_Sales_Patterns_in_Groceries"><span 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data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Data Mining in Market Basket Transaction: An Association Rule Mining Approach","attachmentId":35091128,"attachmentType":"pdf","work_url":"https://www.academia.edu/8739333/Data_Mining_in_Market_Basket_Transaction_An_Association_Rule_Mining_Approach","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/8739333/Data_Mining_in_Market_Basket_Transaction_An_Association_Rule_Mining_Approach"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="54094956" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/54094956/Study_on_Apriori_Algorithm_and_its_Application_in_Grocery_Store">Study on Apriori Algorithm and its Application in Grocery Store</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="178693539" href="https://independent.academia.edu/YadavMadanLal">Madan Lal Yadav</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Computer Applications, 2013</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Study on Apriori Algorithm and its Application in Grocery Store","attachmentId":70625281,"attachmentType":"pdf","work_url":"https://www.academia.edu/54094956/Study_on_Apriori_Algorithm_and_its_Application_in_Grocery_Store","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/54094956/Study_on_Apriori_Algorithm_and_its_Application_in_Grocery_Store"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="84121822" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/84121822/Consumer_Behavior_Analysis_using_Apriori_Algorithm">Consumer Behavior Analysis using Apriori Algorithm</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="174540458" href="https://mariatrierowati.academia.edu/HindriyantoPurnomo">Hindriyanto Purnomo</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Along with the development of the era, also followed by growth and also the birth of many companies in the field of goods and services, where each company always strives as much as possible to obtain and maintain market share. This can make competition tight, especially for business people, especially those that occur in digital printing companies owned by Abadi Digital Printing, Salatiga. Because this printing company is still a new company, it requires a lot of research on consumer purchasing patterns to increase sales and marketing strategies so as not to be rivaled by other printing that has been longer, the following analysis uses apriori algorithms with RapidMiner tools. By using a support value of 0,025 and confidence of 0,6, the results are that the items often purchased by consumers are standing banner with x banner. From these results it can be used as a promotional event, deal packages, etc to increase consumer attractiveness.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Consumer Behavior Analysis using Apriori Algorithm","attachmentId":89252970,"attachmentType":"pdf","work_url":"https://www.academia.edu/84121822/Consumer_Behavior_Analysis_using_Apriori_Algorithm","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/84121822/Consumer_Behavior_Analysis_using_Apriori_Algorithm"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":83933590,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":83933590,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_83933590" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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