Discovering Non-Redundant Association Rules using MinMax Approximation Rules
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 6
Abstract
Frequent pattern mining is an important area of data mining used to generate the Association Rules. The extracted Frequent Patterns quality is a big concern, as it generates huge sets of rules and many of them are redundant. Mining Non-Redundant Frequent patterns is a big concern in the area of Association rule mining. In this paper we proposed a method to eliminate the redundant Frequent patterns using MinMax rule approach, to generate the quality Association Rules.
Authors and Affiliations
R. Vijaya Prakash , Dr. A. Govardhan , Prof. SSVN. Sarma
Keywords
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