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关联规则的维护 被引量：5

Maintenance of Discovered Association Rules
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摘要 关联规则的维护是数据挖掘中的一个重要问题。在实际应用中,数据库并非是静态的,而是要经常更新。数据库发生插入、删除和修改等操作后,一方面有可能产生新的关联规则,另一方面现有的一些规则可能不再适用,所以要对关联规则进行维护。 Maintenance of discovered association rules is an important problem in Data Mining.In practice,the database is updated frequently rather than static.After being inserted,deleted and updated,new association rules will present and some others will not be applied.So the association rules must be maintained.
作者 何炎祥 张戈 石莉
机构地区 武汉大学计算机学院软件工程国家重点实验室
出处 《计算机工程与应用》 CSCD 北大核心 2002年第10期203-205,共3页 Computer Engineering and Applications
关键词 关联规则 维护 数据挖掘 数据库 Association Rules,Maintenance,Data Mining
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献5

  • 1[1]Rakesh Agrawal,Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules in Large Databases[C].In:Proceedings of the Twentieth International Conference on Very Large Databases ,Santiago,Chile, 1994: 487～499
  • 2[2]Heikki Mannila,Hannu Toivonen.On an algorithm for finding all interesting sentences[C].In:Cybernetics and Systems Research 96,Vienna,Austria,Austrian Society for Cybernetic Studies,1996:973～978
  • 3[3]Ramakrishnan Srikant,Rakesh Agrawal. Mining quantitative association rules in large relational tables[C].In:H V Jagadish,Inderpal Singh Mumick,eds.,Proc ACM SIGMOD International Conference on Management of Data, Montreal, Canada, 1996
  • 4[4]David W L Cheung,Jiawei Hah,Vincent T.A fast algorithm for mining association rules[C].In :proc Fourth International Conference on parallel and distributed Information Systems, Miami Beach ,Florida,1996
  • 5[5]David W L Cheung,S D Lee,Benjamin Kao. A general incremental technique for maintaining discovered association rules[C].In:Proceedings of the Fifth International Conference on Database Systems for Advanced Applications ,Melbourne ,Australia, 1997

同被引文献40

  • 1吉根林,杨明,宋余庆,孙志挥.最大频繁项目集的快速更新[J].计算机学报,2005,28(1):128-135. 被引量：47
  • 2Agrawal R,Imielinski T,Swami A.Mining association rules between sets of items in large databases[C].In:Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data:SIGMOD'93,New York: ACM Press, 1993: 207～216
  • 3Agrawal R,Srikant R.Fast Algorithms for Mining Association Rules[C].In:Proceedings of the ACM SIGMOD International Conference, 1994-05: 487～499
  • 4Cheung D W et al. Maintenance of discovered association rules in large databases: an incremental updating technique[C].In: Proceedings of the 12th International Conference on Data Engineering,New Orleans, Louisana, 1996:106～114
  • 5AGRAWAL R,IMIELINSKI T,SWAMI A.Mining Association Rules Between Sets of Items in Large Database[A].Proceedings of the ACM-SIGMOD Conference on Management of Data[C].Washington DC,1993.
  • 6CHEUNG DW.Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique[A].Proceedings of the 12th International Conference on Data Engineering[C].New Orleans,Louisana,1996.106-114.
  • 7AGRAWAL R,SRIKANT R.Fast Algorithms for Mining Association Rules[A].20th Int'l Conference On Very Large Database(VLDB-94)[C].Santiago,Chile,1994.487-499.
  • 8PARK JS,CHEN MS,YU PS.An effective hash-based algorithm for mining association rules[A].Proceedings of 1995 ACM-SICMOD Int Conf Management of Data[C].SM Jose,CA,1995.175-186.
  • 9SAVASERE A,OMIECINSKI E,NAVATHE S.An efficient algo-rithm for mining association rules in large databases[A].Proceedings of the 21st VLDB Conference[C].Zurich,Switzerland,1995.432-444.
  • 10SRIKANT R,AGRAWAL R.Mining generalized association rules[A].Proceedings of the 21th International Conference on Very large Databases[C].Zurich,Switzerland,1994.407-419.

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计算机工程与应用
2002年 第10期

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