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关联规则挖掘中增量式更新算法的研究 被引量：8

Research on Incremental Updating Algorithms for Mining Association Rules
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摘要 关联规则的更新是数据挖掘技术中的一个重要内容,能否有效地挖掘出动态事务数据库中的频繁项目集或关联规则是衡量一个算法好坏的关键因素。该文系统地介绍了关联规则的增量式更新问题,给出或提出了相应的算法,并举例说明了算法的执行过程。 Incremental updating of association rules is an important content of data mining technology.In this paper,the problem of Incremental updating of association rules is introduced by the numbers,and corresponding algorithms are presented or proposed.Finally,the execution of algorithms is illustrated.
作者 朱玉全 宋余庆 陈耿
机构地区 江苏大学计算机科学与通信工程学院 东南大学计算机科学与工程系
出处 《计算机工程与应用》 CSCD 北大核心 2005年第15期186-187,229,共3页 Computer Engineering and Applications
关键词 关联规则 数据挖掘 增量式更新 association rules,data mining,incremental updating
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献9

  • 1Agrawal R,Imielinski T,Swami A.Mining association rules between sets of items in large databases[C].In:Proceedings ACM SIGMOD International Conference Management of Date,Washington DC,1993:207-216.
  • 2Han J,Kamber M.Data Mining:Concepts and Techniques[M].Beijing: High Education Press,2001.
  • 3Fan Ming,Meng Xiao-feng et al.Data Mining:Concepts and Teehniques[M].Beijing:Mechanical Industrial Press,2001.
  • 4Agrawal R,Srikant R.Fast algorithm for mining association rules[C]. In:Proceedings of the 20th International Conference on VLDB,Santiago,Chile,1994: 487-499.
  • 5Han J,Jian P,Yiwen Y.Mining Frequent Patterns without Candidate Generation[C].In:Proceedings of 2000 ACM SIGMOD International Conference Management of Data,Dallas ,TX ,2000:1-12.
  • 6Cheung D W,Han J,Ng V T et al.Maintenance of discovered association rules in large databases:an incremental updating technique[C]. In:Proe of the 12^th Int Conf on Data Engineering,New Orleans,Louisiana,1996:106-114.
  • 7冯玉才,冯剑琳.关联规则的增量式更新算法[J].软件学报,1998,9(4):301-306. 被引量：227
  • 8朱玉全,孙志挥,赵传申.快速更新频繁项集[J].计算机研究与发展,2003,40(1):94-99. 被引量：63
  • 9朱玉全,孙志挥,季小俊.基于频繁模式树的关联规则增量式更新算法[J].计算机学报,2003,26(1):91-96. 被引量：80

二级参考文献17

  • 1Jhan M Kamber著 范明 孟小峰等译.数据挖掘:概念与技术[M].北京:机械工业出版社,2001..
  • 2[1]Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In: Proceedings of ACM SIGMOD International Conference on Management of Date, Washington DC, 1993.207～216
  • 3[2]Agrawal R, Srikant R. Fast algorithm for mining association rules. In: Proceedings of the 20th International Conference on VLDB, Santiago, Chile, 1994. 487～499
  • 4[3]Han J, Kamber M. Data Mining: Concepts and Techniques. Beijing: Higher Education Press, 2001
  • 5[5]Agrawal R, Shafer J C. Parallel mining of association rules:Design, implementation, and experience. IBM Research Report RJ 10004,1996
  • 6[6]Savasere A, Omiecinski E, Navathe S. An efficient algorithm for mining association rules. In: Proceedings of the 21th International Conference on VLDB, Zurich, Switzerland, 1995. 432～444
  • 7[7]Hah J, Jian P et al. Mining frequent patterns without candidate generation. In: Proceedings of ACM SIGMOD International Conference on Management of Data, Dallas, TX, 2000.1～12
  • 8[8]Cheung D W, Lee S D, Kao B. A general incremental technique for maintaining discovered association rules. In: Proceedings of databases systems for advanced applications, Melbourne, Australia, 1997. 185～194
  • 9[10]Han J, Jian P. Mining access patterns efficiently from web logs. In: Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan,2000. 396～407
  • 10[11]Agrawal R, Srikant R. Mining sequential pattern. In: Proceedings of the 11th International Conference on Data Engineering, Taipei, 1995. 3～14

共引文献315

同被引文献48

引证文献8

二级引证文献19

计算机工程与应用
2005年 第15期

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