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  • 标题:MIS-Tree Algorithm for Mining Association Rules with Multiple Minimum Supports
  • 本地全文:下载
  • 作者:M. Sinthuja ; S. Sheeba Rachel ; G. Janani
  • 期刊名称:Bonfring International Journal of Data Mining
  • 印刷版ISSN:2250-107X
  • 电子版ISSN:2277-5048
  • 出版年度:2011
  • 卷号:1
  • 期号:Inaugural Special Issue
  • 页码:01-05
  • DOI:10.9756/BIJDM.I1001
  • 语种:English
  • 出版社:Bonfring
  • 摘要:Mining association rules with multiple minimum supports is an important generalization of the association-rule-mining problem. Instead of setting a single minimum support threshold for all items, they allow users to specify multiple minimum supports to reflect the natures of the items, and an Apriori-based algorithm, named MSapriori, is widely used to mine all frequent itemsets. In this paper the FP-tree-like structures, MIS-tree is widely used to store the crucial information about frequent patterns. The benefit of MIS-tree is it avoids rescanning and finds the different frequent itemsets.
  • 关键词:Data mining; Association rules; Minimum Support; FP-Tree
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