Market-Based Analysis: Apriori approach to analyze purchase patterns

Bharadhwaj Reddy Lekireddy; Naga Sai Ram Reddybathina; G Michael; Sachi Nandan Mohanty

Research Article

Market-Based Analysis: Apriori approach to analyze purchase patterns

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@ARTICLE{10.4108/eetsis.3355,
    author={Bharadhwaj Reddy Lekireddy and Naga Sai Ram Reddybathina and G Michael and Sachi Nandan Mohanty},
    title={Market-Based Analysis: Apriori approach to analyze purchase patterns},
    journal={EAI Endorsed Transactions on Scalable Information Systems},
    volume={10},
    number={5},
    publisher={EAI},
    journal_a={SIS},
    year={2023},
    month={7},
    keywords={Data Mining, Apriori Algorithm},
    doi={10.4108/eetsis.3355}
}

Bharadhwaj Reddy Lekireddy
Naga Sai Ram Reddybathina
G Michael
Sachi Nandan Mohanty
Year: 2023
Market-Based Analysis: Apriori approach to analyze purchase patterns
SIS
EAI
DOI: 10.4108/eetsis.3355

Bharadhwaj Reddy Lekireddy¹^,*, Naga Sai Ram Reddybathina¹, G Michael², Sachi Nandan Mohanty¹

1: Vellore Institute of Technology University
2: Saveetha University

*Contact email: reddy.bharadhwaj@gmail.com

Abstract

In this paper, a data mining approach has been developed to analyze customer behavioral patterns and to get a further idea of the scale of the products purchased. Using the approach we found the best and least performing products, the average number of the products that the customer is interested in buying, And using the apriori algorithm we can generate the frequent items which can be bought together which will help us in suggesting products for the customer to buy. Each pattern is supported by the support and confidence generated using the apriori algorithm.

Keywords: Data Mining, Apriori Algorithm

Received: 2023-05-17
Accepted: 2023-05-25
Published: 2023-07-04
Publisher: EAI

: http://dx.doi.org/10.4108/eetsis.3355

Copyright © 2023 Lekireddy et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.