文章基本信息

标题：Discovering Non-Redundant Association Rules using MinMax Approximation Rules
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作者：R. Vijaya Prakash ; Dr.A. Govardhan ; Prof. SSVN. Sarma 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2012
卷号：3
期号：6
页码：796-802
出版社：Engg Journals Publications
摘要：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.
关键词：Frequent Pattern; Association Rule Mining (ARM); Non-Redundant Frequent Pattern; MinMaxExact; MinMaxApproax Rules