A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique

Authors

  • Sarada W Dept. of Computer science, RBVRR, Rayalaseema University, Kurnool, India
  • Kumar PV Dept. of Computer science and Engineering, Osmania University, Hyderabad, India

DOI:

https://doi.org/10.26438/ijcse/v6i5.11511155

Keywords:

arm, apriori, regression, improve apriori,weka data set, indwx, clustering.

Abstract

 Association rule mining is an astoundingly basic and critical piece of data mining.It will be utilized to Figure the entrancing plans from exchange databases. Apriori count will be a champion among those for all intents and purposes built up computations from guaranteeing association rules, yet all the it require the bottleneck Previously, adequacy. In this article, we recommended a prefixed-itemset-based data structure to create visit itemset, with those help of the structure we made sense of how to improve the viability of the conventional Apriori computation

References

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Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6i5.11511155
Published: 2025-11-13

How to Cite

[1]
W. Sarada and P. Kumar, “A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique”, Int. J. Comp. Sci. Eng., vol. 6, no. 5, pp. 1151–1155, Nov. 2025.

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Section

Research Article