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双向关联规则挖掘提取算法

Two-way extraction algorithm for mining association rules
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摘要 传统的关联规则挖掘是单向的,不能确定"相互依赖"的规则,找到的规则不一定是有意义的,甚至是错误的。鉴于此,本文在分析的基础上,提出双向关联规则挖掘算法。并根据其相关性找出对我们有意义的规则。 The traditional association rule mining is one-way and can not determine the 'interdependence' rule,the rule is not necessarily to find meaningful,or even wrong.In view of this,this paper,based on the analysis put forward a two-way algorithm for mining association rules.And according to their relevance for us to find a meaningful rules.
出处 《信息与电脑(理论版)》 2010年第1期127-128,共2页 China Computer & Communication
关键词 双向关联规则 频繁项集 相关性 two-way association rules frequent item sets relevance
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参考文献4

  • 1Jiawei Han,,Micheline Kamber.Data Mining:Concepts andTechniques[]..2001
  • 2Jiawei Han,Micheline Kamber.Data Mining: Concepts and Techniques[]..2001
  • 3Edith Cohen,Mayur Datar,Shinji Fujiwara,et al.Finding interesting associations without support pruning[].IEEE Transactions on Knowledge and Data Engineering.2001
  • 4Rakesh Agrawal,Tomasz Imielinski,Arun Swami.Mining Association Rules Between Sets of items in Large Databases[].ACM SIGCOMM.1993

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