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多表间关联规则的并行挖掘算法 被引量:5

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摘要 通过关键字等相关属性之间的联系,在不进行连接操作的情况下,探讨了多表间关联规则的数据挖掘问题.给出了相关的数据结构和具有较好并行度的算法,并对算法作了定性分析.
作者 左万利
出处 《小型微型计算机系统》 CSCD 北大核心 1999年第8期574-577,共4页 Journal of Chinese Computer Systems
基金 国家自然科学基金
  • 相关文献

参考文献2

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  • 2Dao S,Proc Int Conf Knowledge Discovery in Databases and Data Mining(KDD 95),1995年,63页

同被引文献27

  • 1张玉林,仲伟俊,梅姝娥.一类表内多概念间多层次关联规则挖掘算法及应用[J].计算机工程与应用,2001,37(14):91-92. 被引量:4
  • 2罗文俊,李祥.多方安全矩阵乘积协议及应用[J].计算机学报,2005,28(7):1230-1235. 被引量:34
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  • 4[2]Jia Wei Han,Yongjian Fu.Mining Multiple-Level Association Rules in Large Databases[J].IEEE Tran. On Knowledge And Data Engineering,1999;11(5):798-805
  • 5[3]Li Shen,Hong Shen,Ling Cheng. New algorithms for efficient mining of association Rules[J].Information Sciences, 1999;118(1-4):251-268
  • 6Du Wenliang.A study of several specific secure two-party computation problems[D].USA:Purdue University,2001 : 1-159.
  • 7Goldreich O.Secure multi-party computation[Z].Working draft, Version 1.4,1998: 1-109.
  • 8Li Nai-qian, Song Qin-bao,Shen Jun-yi.Mining cross-table association rules based on projections of itemsets[C]//Proc of the First International Conference on Machine Learning and Cybernetics,Beijing,November 2002: 170-174.
  • 9Vaidya J, Clifton C.Privacy preserving association rule mining in vertically partitioned data[C]//Proc of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002: 639-644.
  • 10Goethals B,Laur S,Lipmaa H.On private scalar product compu-tation for privacy-preserving data mining[C]//LNCS 3506: Proc of the 7th Annual International Conference in Information Security and Cryptology.[S.1.]:Springer-Verlag,2004:104-120.

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