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基于概念的关联规则的挖掘 被引量:3

CONCEPT-BASED ASSOCIATION RULES MINING
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摘要 关联规则是数据挖掘研究的重要内容.本文提出的基于概念的关联规则的挖掘算法AR-concept是对基于分类的挖掘算法的拓展,提高了挖掘的效率和结果的有趣性.实验结果表明算法是有效的. Mining association rules is the important aspect of data mining. AR-concept, concepts-based association rules mining algorithm, extending taxnomies-based mining methods, improving the mining effeciency and the interestingness of the mining results, is given in the paper. The experiment shows that AR-concept is effecient and effective.
出处 《郑州大学学报(自然科学版)》 CAS 1998年第2期27-30,共4页 Journal of Zhengzhou University (Natural Science)
基金 河南省科委基础研究资助
关键词 关联规则 概念 数据挖掘 知识发现 数据库 association rules concept generalization
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参考文献4

  • 1Agrawal R, lmielinski T, Lyer B,et al. Mining Association Rules between Sets og Items in Large Databases. Proc of the ACM SIGMOD Conf on Management of Data, USA, 1993:207-216.
  • 2Srikant R, Agrawal R, Mining Generalized Association Rules. Proc of VLDB-95, Swizerland, 1995:3-14.
  • 3Dhar V, Tuzhilin A. Abstract Driven Pattern Discovery in Databases. IEEE Trans on Knowl and Data Eng, 1993,5(6):926-938.
  • 4Han J, Fu Y, Discovery of Multiple Level Association Rules from Large Databases. VLDB-95,Swiz-erland, 1995:420-431.

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