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Market Basket Analysis Using Rule-Based Algorithms and Data Mining Techniques

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  • Marina Kholod
  • Nikita Mokrenko

Abstract

The research identifies association rules that can inform marketing strategies and enhance operational efficiency. A structured methodology is applied to extract and interpret meaningful relationships within transactional data, emphasizing their implications for managerial decision-making. By demonstrating the potential of data mining to transform raw data into valuable business insights, this paper provides a framework for using analytical tools to improve customer engagement and competitive positioning.

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  • Marina Kholod & Nikita Mokrenko, 2024. "Market Basket Analysis Using Rule-Based Algorithms and Data Mining Techniques," Papers 2412.18699, arXiv.org.
    • Handle: RePEc:arx:papers:2412.18699
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    File URL: http://arxiv.org/pdf/2412.18699
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