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  • 标题:Eliminating Redundant Frequent Pattern’s In Non – Taxonomy Data Sets
  • 本地全文:下载
  • 作者:R.Vijaya Prakash ; Prof.A.Govardhan ; Prof.S.S.V.N.Sarma
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 出版社:S.S. Mishra
  • 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 in Non ¨CTaxonomy Data sets is a big concern in the area of association rule mining. In this paper we proposed a method to eliminate the redundant frequent patterns, to generate the quality association rules
  • 关键词:Frequent Pattern; Closed Pattern; Association Rule Mining (ARM); Non Redundant Itemset; Itemset.
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