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挖掘关联规则的数组方法 被引量:2

A Data Method for Association Rules Mining On Large Database
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摘要 讨论了在大数据库上挖掘关联规则的数组方法。给出了一个数组方法,它效率更高,扫描整个数据库最多两遍. The authors proposed a data based algorithm for mining associntion rules bctweenitems in a large database. The algorithm overcomes the shortcomings of the exitingalgorithms, and reduces the number of passas of scaning database so that I/O overhead is redued significantly. Analysis and experimental results show that the algoritlim is more efficientthan other.
出处 《黑龙江商学院学报》 2000年第2期4-9,共6页 Journal of Harbin Commercial University(Natural Sciences Edition)
关键词 关联规则 数组方法 数据挖掘 知识发现 数据库 association rules data algorithm data mining
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参考文献5

  • 1[1]R.Agrawal,T.Imieliski,and A.Swami.Mining association rules between sets of items in large database.In Proceedings of ACM SIGMOD International Conference on Management of Data(SIGMOD'93),pp[J].207-216,May 1993.
  • 2[2]R.Agrawal,H.Mannila,R.Srikant,H.Toivonen,and A.Inkeri Verkamo.Fast discovery of association rules.In Ad~vances in knowledge discovery and data mining[M].AAAI/MIT Press,1996
  • 3[3]R.Agrawal,and J.C.Shafer.Parallel mining of association rules.IEEE Transactions on Knowledge and Data Engineering[J].8(6):962-969,December 1996.
  • 4[4]D.Cheung,J.Han,V.Ng,andC.Y.Wong.Maintenance of discovered association rules in large databases:An incremental updating technique.In Proceedings of 1996 International Conference on Data Engineering(ICDE'96),pp[J].106-114,Feb.1996.
  • 5[5]U.M.Fayyad,G.Piatetsky-Shairo,and P.Smyth,R.Uthurusamy.Advances in knowledge discovery and data miing[J].AAAI/MIT Press,1996

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