Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9972
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dc.contributor.authorSethi, Reet-
dc.contributor.authorKaur, Anupriya [Guided by]-
dc.contributor.authorKanji, Rakesh [Guided by]-
dc.date.accessioned2023-09-13T05:15:57Z-
dc.date.available2023-09-13T05:15:57Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9972-
dc.descriptionEnrollment No. 191222en_US
dc.description.abstractMarket Basket Analysis is primarily one of the data mining techniques which is utilized by retailers to discover key associations between items or items or goods. The goal of the effective study of items bought along with is to enhance customer satisfaction and improve the supplier’s sales while increasing profitability. Instacart is an America-based grocery store that provides same-day delivery. The main purpose of this project is to utilize the open data file provided by Instacart to uncover customer purchase arches using transactional orders, descriptive analysis on items bought along with, and finding rules to enhance sales of the store. Various models have been developed to mine the association rules.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectMarket basket analysisen_US
dc.subjectGroceryen_US
dc.titleMarket Basket Analysis of Instacarten_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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