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一种基于条件独立性的关联规则过滤方法 被引量:2

A Method of Filtering Association Rule Based on Conditional Independencies
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摘要 重点分析了一种关联规则挖掘算法的基本原理,提出了一种基于条件独立性的关联规则过滤的方法,并分析了其它的几种过滤方法。 This paper puts emphasis on the base principle of association rule mining algorithm,and offers a new viewpoint of filtering association rules based on Conditional Independencies,and analyzes some other methods of filtering association rule.
作者 陈斌 倪天倪
出处 《计算机工程与应用》 CSCD 北大核心 2003年第25期190-192,共3页 Computer Engineering and Applications
关键词 数据挖掘 关联规则 条件独立 过滤 Data Mining,Association Rule,Conditional Independencies,Filtering
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  • 1黄艳.DSS中的关联规则的知识发现[M].大连:大连理工大学,1999..
  • 2[1]C C Aggarwal,P S Yu. Mining Large Itemsets for Association Rules[J].Data Engineering Bulletin, 1998 ;21 ( 1 ) :23~31
  • 3[2]Eui-Hong Han,George Karypis,Vipin Kumar. Scalable Parallel Data Mining for Association Rules[J],IEEE Transactions on Knowledge and Data Engineering,2000; 12(3) :377~352
  • 4[3]R Agrawal,S Srikant.Fast Algorithms for Mining Association Rules[C].Proc.20th Int Conf on VLDB,Santiago,Chile,1994:487~499
  • 5[4]J S Park,M S Chen,P S Yu. An Effective Hash-Based Algorithm for Mining Association Rules[C].Proc ACM SIGMOD Int Conf Management of Data,San Jose,CA, 1995:175~186
  • 6[5]J Liu,J Yin. Towards Efficient Data Re-mining(DRM)[C].Proc PAKDD,5th Pacific-Asia Conf. Hong Kong,China,2001:406~412
  • 7[6]S D Lee,D W Cheung,B Kao.Is Sampling Useful in Data Mining?A Case in the Maintenance of Discovered Association Rules[J].Data Mining and Knowledge Discovery,Kluwer Academic Publishers,1998;2 (3): 233~262
  • 8Ma Xiaoqiang,香港大学技术报告,1996年
  • 9Han J,Proceedings of ACM SIGMOD International Conference’96 on Management of Data (SIGMOD’96),1996年
  • 10Cheung D,Proceedings of the International Conference’96 on Data Engineering (ICDE’96),1996年

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同被引文献18

  • 1田金洲,时晶,苗迎春,王平,孔明望.阿尔茨海默病的流行病学特点及其对公共卫生观念的影响[J].湖北中医学院学报,2009,11(1):3-7. 被引量:37
  • 2李飞,高济,刘柏嵩,周明健.知识管理中语义与关键字相结合的检索方法[J].计算机辅助设计与图形学学报,2004,16(12):1696-1702. 被引量:5
  • 3王旭仁,许榕生.基于粗糙集理论的关联规则挖掘研究及应用[J].计算机工程,2005,31(20):90-92. 被引量:10
  • 4沈国强,覃征.一种新的多维关联规则挖掘算法[J].小型微型计算机系统,2006,27(2):291-294. 被引量:18
  • 5杨炳儒.中国科学技术前沿——知识发现进展中的两大核心问题[M].北京:高等教育出版社,2006.215-267.
  • 6Schuster A, Wolff R, Trock D. A high-performance distributed algorithm for mining association rules [ J ]. Knowledge and Information Systems ,20~(8) :291 - 308.
  • 7Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases [ A ]. Proceedings of the ACM SIGM-OD Conference on Management of Data [C]. Washington D. C. : ACM Press, 1993. 207-216.
  • 8Peng Zhiyong, Li Qing, Feng Ling, et al. Using object deputy model to prepare data for data warehousing [ J ]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2005, 17 (9) : 1 274 - 1 288.
  • 9Cheung D, LEE S, Kao B. A general incremental technique for maintaining discovered association rules [A]. Proceedings of the 5th International Conference on Database Systems for Advanced Application, DASFAA'97 [ C]. Melbourne, Australia: World Scientific Press. 185 - 194.
  • 10Studer R, Benjamins V R, Fensel D. Knowledge engineering, principles and methods [ J ]. Data and Knowledge Engineering, 1998, 25 (1/2) : 161 - 197.

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