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A Survey on Association Rule Mining
T.KARTHIKEYAN, N.RAVIKUMAR Associate Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore, India Research Scholar, Department of Computer Science, Karpagam University, Coimbatore, India
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Abstract: In recent years, Association Rule Discovery has become a core topic in Data Mining. It attracts more attention because of its wide applicability. Association rule mining is normally performed in generation of frequent itemsets and rule generation in which many researchers presented several efficient algorithms. This paper aims at giving a theoretical survey on some of the existing algorithms. The concepts behind association rules are provided at the beginning followed by an overview to some of the previous research works done on this area. The advantages and limitations are discussed and concluded with an inference.
Keywords: Data Mining, Association rule, Frequent itemsets
Keywords: Data Mining, Association rule, Frequent itemsets
How to Cite:
[1] T.KARTHIKEYAN, N.RAVIKUMAR Associate Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore, India Research Scholar, Department of Computer Science, Karpagam University, Coimbatore, India, âA Survey on Association Rule Mining,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.