This paper is published in Volume-4, Issue-4, 2018
Area
Data Mining
Author
Mohini H. Chandwani
Org/Univ
Shree Hanuman Vyayam Prasarak Mandal's College of Engineering and Technology, Amravati, Maharashtra, India
Pub. Date
09 August, 2018
Paper ID
V4I4-1444
Publisher
Keywords
Market basket analysis, Association rule mining, FP-Tree algorithm, Frequent item-sets, Support, Confidence

Citationsacebook

IEEE
Mohini H. Chandwani. Market basket analysis using association rule, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mohini H. Chandwani (2018). Market basket analysis using association rule. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Mohini H. Chandwani. "Market basket analysis using association rule." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

The proposed paper focuses on the basic concepts of association rule mining and the market basket analysis of different items. In the current study, the market analysis would be done by collecting the real, primary data directly from retailers and wholesalers. The efficiency of the FP- Growth algorithm can be measured in terms of mining of the frequent pattern. Precisely, we apply the FP-Growth algorithm on the various data collected from different stores in order to trace the various association rules comprising of a basket. One discrete advantage is that it avoids the generation of candidate sets, which is computationally exhaustive. The results and conclusions drawn can be used in optimizing the market. This will help in predicting future trends and behaviors, allowing businesses to make knowledge-driven decisions.