Market Basket Analysis using Apriori Algorithm

Dr. Yojna Arora; Ms. Neha Bhateja; Ms. Vanshita Goswami; Mr. Rohan Kukreja; Ms. Amisha Rajput

doi:10.55524/ijircst.2022.10.3.12

Abstract

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.

Keywords

Data mining, market basket analysis, Apriori, Association

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Cites this article as

D. Y. Arora, M. N. Bhateja, M. V. Goswami, M. R. Kukreja, M. A. Rajput, "Market Basket Analysis using Apriori Algorithm ", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-10, Issue-3, Page No-62-66, 2022. Available from: https://doi.org/10.55524/ijircst.2022.10.3.12

Corresponding Author

Dr. Yojna Arora

Assistant Professor, Computer Science Engineering, ASET, Amity University Haryana, India

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