MARKET BASKET ANALYSIS USING MACHINE LEARNING

Authors

  • Atul Sharma Asstt Professor, IPEM group of Institutions, India
  • Mohammad Salim Hamidi Vice Chancellor Jahan University, Kabul, Afghanistan
  • Yousuf Hotak Dean, Jahan University, Kabul, Afghanistan

DOI:

https://doi.org/10.58885/ijcsc.v09i1.014.as

Keywords:

Market Basket Analysis, Machine Learning, Python.

Abstract

The test database products that are most likely to be purchased together, primarily in the retail and economic sectors, are analyzed using the "market basket analysis" method. This method works particularly well for optimization. We used the market basket dataset from the Kaggle library for our research study. Using the Python programming language, this test database was examined for the well-known management subject of "Market Basket Analysis."

References

Chaudhary, S. (2022) Understanding market basket analysis in data mining, Understanding Market Basket Analysis in Data Mining. Available at: https://www.turing.com/kb/market-basket-analysis (Accessed: 29 August 2024).

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How to use market basket analysis for retail and marketing. (2023, December 19). ThoughtSpot. https://www.thoughtspot.com/data-trends/analytics/market-basket-analysis

McColl, L. (2022, March 1). Market basket analysis: Understanding customer behaviour. Select Statistical Consultants. https://select-statistics.co.uk/blog/market-basket-analysis-understanding-customer-behaviour/

Overview of market basket analysis. (n.d.). Modern Big Data Analytics & BI Software - FineBI. https://intl.finebi.com/blog/market-basket-analysis

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Published

2024-09-03

How to Cite

Atul Sharma, Mohammad Salim Hamidi, & Yousuf Hotak. (2024). MARKET BASKET ANALYSIS USING MACHINE LEARNING. International Journal of Computer Science & Communications (IJCSC), 9(1), 14–21. https://doi.org/10.58885/ijcsc.v09i1.014.as

Issue

Vol. 9 No. 1 (2024): International Journal of Computer Science & Communications (IJCSC)

Section

RESEARCH BRIEF

License

Copyright (c) 2024 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.