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分布式关联规则挖掘中的聚类分区算法

Clustering Partition Algorithm for Distributed Association Rules Mining
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摘要 在分布式关联规则挖掘中,首先需要解决分布式环境下的聚类分区问题。该文基于CURE的工作原理,提出了D-CURE算法。实验证明,D-CURE算法可以很好地解决在分布式环境下的聚类分区问题。 The key problem in distributed association rules mining is to cluster partition in distributed environment. This paper presents an algorithm called D-CURE which is based on the principle of CURE. The performance shows that D-CURE algorithm can effectively resolve the clustering partition problem in distributed environment.
出处 《计算机工程》 CAS CSCD 北大核心 2003年第17期31-33,共3页 Computer Engineering
关键词 关联规则 数据挖掘 聚类 Association rules Data mining Cluster
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参考文献7

  • 1Agrawal R, lmielinksi T, Swami A. Mining Association Rules Between Sets of Items in Large Databases. Washington D.C. In Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, 1993-05.
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二级参考文献3

  • 11,Srikant R, Agrawal R. Mining quantitative association rules in large relational table. In: Proceedings of the ACMSIGMOD Conference on Management of Data, Montreal, Canada, 1996. 1-12
  • 22,Fukuda T, Morimoto Y, Morishita S et al. Mining optimized association rules for numeric attributes. In: Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Montreal, Canada, 1996. 182-191
  • 33,Fukuda T, Morimoto Y, Morishita S et al. Data mining using two-dimensional optimized association rules: Scheme, algorithms and visualization. In: Proceedings of the ACMSIGMOD International Conference on Management of Data, Montreal, Canada, 1996. 13-24

共引文献25

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