A Survey of Mining Association Rule Techniques

Authors

  • Sumitha M BCA Department, Sri Akilandeswari Women's College, Vandavasi, Tiruvannamalai, Tamil Nadu, India
  • Suganya PS BCA Department, Sri Akilandeswari Women's College, Vandavasi, Tiruvannamalai, Tamil Nadu, India

Keywords:

Data mining, Apriori algorithm, Database, Association rules

Abstract

Association rule is a data mining techniques which is used to mine several algorithms of applying association rules from the given databases. One of the most important algorithm is Apriori that is used to extract frequent itemsets from large database and association rules are help to discovering the knowledge. Association rules are if/then statements that help uncover relationships between unrelated data in a relational database or other information repository. In this paper we mention different techniques for mining association rules from relational databases and their usage in different areas

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Published

2025-11-18

How to Cite

[1]
M. Sumitha and P. Suganya, “A Survey of Mining Association Rule Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 11, pp. 168–173, Nov. 2025.