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动态数据库关联规则增量更新算法

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摘要 针对大部分关联规则更新算法只考虑最小支持度这一因素,却没有考虑最小置信度阀值。数据库更新时只考虑数据的添加,而没有考虑数据的删除。文章提出了一种可同时考虑以上几方面的动态数据库更新算法,可有效挖掘出人们有兴趣的知识。实验表明,该算法切实可行。
作者 林国全
出处 《中国高新技术企业》 2010年第14期36-39,共4页 China Hi-tech Enterprises
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  • 1牛小飞,石冰,卢军,吴科.挖掘关联规则的高效ABM算法[J].计算机工程,2004,30(11):118-120. 被引量:16
  • 2商志会,陶树平.一种高效的关联规则增量更新算法[J].计算机应用,2005,25(4):830-832. 被引量:5
  • 3Omiecinski S E, Navathe S. An Efficient Algorithm for Mining Association Rules in Large Databases[R].ln:Proceeding of the 21st Intemational Conference on Very Large Database,Zilrich,Swizerland, 1995-09:432-444.
  • 4Agrawal R. Mining Association Rules Between Sets of Items in Large Databases. In: Proceedings of ACM SIGMOD Conference on Management of Data, Washington,DC, 1993-05:207-216.
  • 5Agrawal R, Srikant R.Fast Algorithms for Mining Association Rules.In:Proceedings of the 20^th International Conference on Very Large Databases,Santiago,Chlie, 1994-09:487-499.
  • 6Cheung D W. Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Rechnique.In:Proceedings of the 12th International Conference on Data Engineering, New Orleans, Lousiana, 1996:106-114.
  • 7David W Cheung,Jiawei Han,Vincent Ng et al.Maintenance of Discovered Association Rules in Large Database:an Incremental Updating Technique[C].In:Proceeding of 12th International Conference on Data Engineering(ICDE96),New Orleans,Louisana,1996-02:106~114
  • 8Han Jiawei, Kamber M. Data mining: Concepts and techniques [M]. Beijing: Higher Education Press, 2001
  • 9Agrawal R. Mining Association Rules Between Sets of Items in Large Database[C]. In: Proc. of ACM SIGMOD Conf. on Management of Data, Washington, 1993. 207~216
  • 10Cheung D W. Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. In: Proc. of the 12th Intl. Conf. on Data Engineering, New Orleans, Louisi ana, 1996. 106~114

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