Market Basket Analysis using Apriori Algorithm

Authors

  • Yojna Arora Assistant Professor, Computer Science Engineering, ASET, Amity University Haryana, India Author
  • Neha Bhateja Assistant Professor, Computer Science Engineering, ASET, Amity University Haryana, India Author
  • Vanshita Goswami Student, Computer Science Engineering, ASET, Amity University Haryana, India Author
  • Rohan Kukreja Student, Computer Science Engineering, ASET, Amity University Haryana, India Author
  • Amisha Rajput Student, Computer Science Engineering, ASET, Amity University Haryana, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Data mining, market basket analysis, Apriori, Association

Abstract

A Technique that check for dependency  for one Data item to another is Association Rule which is  an old Data mining approach. Which is used to identify the  next product that might interest a customer. The Apriori Algorithm is applied in this for mining frequent products  sets and relevant Association rule. With this algorithm we  can use this for up-sell and also in cross-sell to show the  Association rule with the help of the algorithm. These  methods are widely used in global companies, so for the  good understanding the companies used the methods to  remain up to date that what customers demands with which  products. The results helps the big retailers to identify a  trend for customers buying patterns, which is very helpful  information for the retailers to plan their big business  operations.

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References

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Published

2022-05-30

How to Cite

Market Basket Analysis using Apriori Algorithm . (2022). International Journal of Innovative Research in Computer Science & Technology, 10(3), 62–66. https://doi.org/10.55524/