%0 Journal Article
%T Discovering Non-Redundant Association Rules using MinMax Approximation Rules
%A R. Vijaya Prakash
%A Dr.A. Govardhan
%A Prof. SSVN. Sarma
%J Indian Journal of Computer Science and Engineering
%D 2012
%I Engg Journals Publications
%X 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.
%K Frequent Pattern
%K Association Rule Mining (ARM)
%K Non-Redundant Frequent Pattern
%K MinMaxExact
%K MinMaxApproax Rules
%U http://www.ijcse.com/docs/INDJCSE12-03-06-073.pdf