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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sethi, Reet | - |
dc.contributor.author | Kaur, Anupriya [Guided by] | - |
dc.contributor.author | Kanji, Rakesh [Guided by] | - |
dc.date.accessioned | 2023-09-13T05:15:57Z | - |
dc.date.available | 2023-09-13T05:15:57Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9972 | - |
dc.description | Enrollment No. 191222 | en_US |
dc.description.abstract | Market 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.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Market basket analysis | en_US |
dc.subject | Grocery | en_US |
dc.title | Market Basket Analysis of Instacart | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Market Basket Analysis of Instacart.pdf | 3.6 MB | Adobe PDF | View/Open |
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