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一种多关系频繁模式挖掘算法 被引量:1

Multi-relational frequent pattern mining algorithm
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摘要 传统数据挖掘算法在处理多表时,需要物理连接,存在效率不高的问题。为了解决这一问题,提出了一种多关系频繁模式挖掘算法。该算法利用元组ID传播的思想,使多表间无须物理连接,就可以直接挖掘频繁模式。实验表明,此算法具有较高的效率。 While dealing with multi-relation, traditional data mining algorithms used the way of physical join. In order to solve this problem, this paper proposed a multi-relational frequent pattern mining algorithm. By taking advantage of tuple ID propagation approach, this algorithm could directly mine frequent pattern in multi-relation without physical join. Experiment demonstrates that, this algorithm has high efficiency.
出处 《计算机应用研究》 CSCD 北大核心 2009年第9期3285-3288,共4页 Application Research of Computers
基金 广西研究生教育创新计划资助项目(2008105930812M101)
关键词 多关系数据挖掘 频繁模式 元组ID传播 multi-relational data mining frequent pattern tuple ID propagation
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参考文献11

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二级参考文献4

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同被引文献13

  • 1张伟,杨炳儒,钱榕.多关系频繁模式发现研究[J].计算机科学,2007,34(7):158-164. 被引量:3
  • 2何军,刘红岩,杜小勇.挖掘多关系关联规则[J].软件学报,2007,18(11):2752-2765. 被引量:37
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  • 8Jiménez A,Berzal F,Cubero J C. Frequent Itemset Mining in Mtdtirelational Databases[A].Beilin:Springer-Verlag,2009.15-24.
  • 9Hon Wei,Yang Bing-ru,Xie Yong-hong. Mining Multi-relational Frequent Patterns in Data Streams[A].Washington:IEEE Press,2009.205-209.
  • 10Han Jia-wei;Kamber M;范明;孟小峰.数据挖掘概念与技术[M]北京:机械工业出版社,2007146-152.

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