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  • 标题:A Review on Association Rule Mining Algorithms
  • 本地全文:下载
  • 作者:JYOTI ARORA ; NIDHI BHALLA ; SANJEEV RAO
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2013
  • 卷号:1
  • 期号:5
  • 出版社:S&S Publications
  • 摘要:In this paper, a review of four different association rule mining algorithmsApriori, AprioriTid,Apriorihybrid and tertius algorithms and their drawbacks which would be helpful to find new solution for the Problemsfound in these algorithms and also presents a comparison between different association mining algorithms.Association rule mining is the one of the most important technique of the data mining. Its aim is to extractinteresting correlations, frequent patterns and association among set of items in the transaction database.
  • 关键词:Data mining; Association rule algorithms; Apriori; AprioriTid;Apriori hybrid and Tertius;algorithms.
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