Determination of Association Rules with Market Basket Analysis: Application in the Retail Sector

Abstract

Market basket analysis is the process of extracting purchasing trends from
records in company databases, taking into account the products that
customers buy in a single transaction. In this study, a market basket
analysis was conducted on a five-and-a-half year data of a large hardware
company operating in the retail sector, and related product categories
were identified. In determining the association rules, both the Apriori and
FP-Growth algorithms were run separately and their usefulness in such a
set of data was compared. In addition, the data set was divided into Data
Set-1 and Data Set-2 so that the consistency of the rules was discussed by
comparing the correctness of rules extracted from the first data set with
rules derived from the second data set containing consecutive timed data.