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Market Basket Analysis for Determination of Consumer Behavior at XYZ Stores Using R Programming
Author(s) -
Kelik Sussolaikah
Publication year - 2021
Publication title -
advance sustainable science engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2715-4211
DOI - 10.26877/asset.v3i2.8547
Subject(s) - computer science , product (mathematics) , process (computing) , affinity analysis , data science , data mining , association rule learning , mathematics , geometry , operating system
Data mining is one of the fields of science in the world of informatics which has an important role, especially with regard to data. There are many algorithms and methods that can be used to process data. The paper this time the author tries to conduct research on consumer behavior by using one of the data mining techniques, namely market basket analysis. This research uses the R Programming tool, where it is hoped that the research can be carried out effectively and efficiently. Based on the research conducted, it is known that there has been a significant purchase of several items that have been described as a plot. The tendency of consumers to buy several items followed by other items can be a consideration for arranging the layout of goods on the sales shelf or arranging product stock in a supermarket.

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