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约束关联规则的有效挖掘算法 被引量:5

Efficient Mining Algorithm for Constrained Association Rules
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摘要 研究了在大型事务数据库中挖掘有约束条件的关联规则问题;给出了约束频繁模式树的定义;提出了一种基于约束频繁模式树的约束关联规则挖掘算法,并与其它相应算法进行了比较,实验结果表明算法是有效的。 This paper discusses the problem of discovering constrained association rules between items in a large database of sales ,.,transaction and a new algorithm is presentedComparing with other algorithmsthe author also offers some experiments to show .that the new algorithm is more efficient
出处 《计算机工程》 CAS CSCD 北大核心 2002年第2期29-31,共3页 Computer Engineering
基金 国家自然科学基金资助项目(79970092) 国家中小型企业创新基金资助项目(00C26213211014)
关键词 数据挖掘 关联规则 项目约束 算法 事务数据库 Data miningAssociation rulesItem constraint
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参考文献3

  • 1[1]Agrawal R,Srikant R.Fast Algorithms for Mining Association Rules.In: Proceedings of the 20th Intemational Conference on Very Large Databases,Santiago,Chile,1994:487-499
  • 2[2]Srikant R,Vu Q,Agrawal R.Mining Association Rules with Item Constraints.In: Proceedings of the 3rd International Conference on Knowledge Discovery in Databases and Data Mining ,Newport,Califomia,1997:67-73
  • 3[3]Srikant R,Agrawal R.Mining Generalized Association Rules.In:Proceedings of 21st International Conference on Very Large Databases,Zurich,Switzerland,1995:407-419

同被引文献30

  • 1员巧云,程刚.近年来我国数据挖掘研究综述[J].情报学报,2005,24(2):250-256. 被引量:46
  • 2JiaweiHan MichelineKambr.数据挖掘-概念与技术[M].高等教育出版社,2001..
  • 3Agrawal R,Srikant R.Fast Algorithms for Mining Association Rules [C].In:Proceedings of the 20th International Conference on Very Large Databases,Santiago,Chile,1994:487~499
  • 4C H Cai,W C Fu Ada,C H Cheng et al.Mining association rules with weighted items. IEEE Int'Database Engineering and Applications Symposium, Cardiff, 1998
  • 5Jiawei Han,Michiline Kamber.Data Mining Concepts and Techniques
  • 6HANJ KAMBEQ M. Data Mining Concepts and Techniques[Z].Morgan Kaufmann Publishers, Inc ,2001.8 152-158
  • 7Srikant R, Vu Q, Agrawal R. Mining Association Rules with item Constrains[J].In:Proceedings of the 3rdInternational Conference on Knowledge Dicovery in Databases and Data Mining ,Newport,Califomia, 1997.67-73.
  • 8邹长忠.一种加权关联规则增量更新算法[J].青岛大学学报:自然科学版,2003,.
  • 9AGRAWAL R, SHAFER J C. Parallel Mining of Association Rules: Design, Implementation and Experience [J]. IEEE Transactions on Knowledge and Data Engineering, 1996,8 (6):962 - 969.
  • 10AGRAWAL R,SRIKANT R. Fast Algorithms for Mining Association Rules [A]. HECKERMAN D, MANNILA H,PREGIBON D, et al. Proceedings of the 20th International Conference on Very Large Databases [C]. New York: ACM Press, 1994: 487-499.

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