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Carma关联规则算法的一种改进 被引量:2

Improvement of Online Association Rule Mining Algorithm
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摘要 首先介绍了由ChristianHidber提出的在线挖掘关联规则算法Carma,然后提出了对该算法的若干改进.减弱了原算法第一步中当前交易的子集v被插入集合V的条件,同时改进了maxMissed的计算公式,使其计算更为简单.实验表明。 This paper first introduces the online association rule mining algorithm named Carma presented by Christian Hidber,and then proposes some improvements of this algorithm.We weaken the condition of inserting a subset v of cur-rent transaction in lattice of potentially large itemsets V.We modify the expression of maxMissed to make the calculation more simple.Experiments showthe improvements speed up the algorithm.
出处 《韶关学院学报》 2004年第3期51-55,共5页 Journal of Shaoguan University
关键词 数据挖掘 关联规则 在线数据挖掘 data mining association rule online data mining
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参考文献6

  • 1Agrawal R,Imielinski T,Swami A.Mining Association Rules between Sets of Items in Large Databases[].Proceeding of ACM SIGMOD International conference on Management of Data.1993
  • 2Tsur D,Ullman J,Abiteboul S,et al.Query Flocks: A Generalization of Association-rule Mining[].Proceedings of ACM SIGMOD International conference on Management of Data.1998
  • 3Srikant R,Agrawal R.Mining Quantitative Association Rules in Large Relational Tables[].Proceedings of ACM SIGMOD International conference on Management of Data.1996
  • 4Hidber C.Online Association Rule Mining[].Proceedings of ACM SIGMOD International conference on Management of Data.1999
  • 5Agrawal R,Srikant R.Fast Algorithms for Mining Association Rules[].Proceedings of the VLDB Conference.1994
  • 6Brin S,Motwani R,Ullman J,et al.Dynamic Itemset counting and Implication Rules for Market Basket Data[].Proceedings of ACM SIGMOD International conference on Management of Data.1997

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