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具有模糊属性的关联产生式发掘算法及应用

MINING ALGORITHM FUZZY WITH ASSOCIATION PRODUCTION AND ITS APPLICATION
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摘要 本文通过不确定性推理的分析 ,提出了模糊关联的概念 ,用模糊概念表示事务数据之间的关联关系 ,研究了模糊关联的性质 。 In this thesis, we put forward concept of fuzzy association rules through analyzing uncertainty inference, express the association relation between the transactions data with fuzzy concept, and study the attribute of association rule. A new mining algorithm what is called the Fuzzy Association Production Mining Algorithm is proposed, and an example of the mining algorithm and application of fuzzy association production is given.
出处 《数学杂志》 CSCD 北大核心 2004年第1期73-78,共6页 Journal of Mathematics
关键词 数据发掘 关联规则 模糊产生式 模糊关联 不确定性推理 事务数据 data mining association rule fuzzy production
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参考文献3

  • 1R. Ng,L. V. S. Lakshmanan, J. Han and A. Pang, Exploratory Mining and Pruning Optimizations of Constrained Associations Rules[J]. Proc, of 1998 ACM-SIGMOD Conf on Management of Data,Seattle,Washington. 1998, (6): 13-24.
  • 2L. V. S. Lakshmanan, R. Ng, J. Han and A. Pang, Optimization of Constrained Frequent Set Queries with 2-Variable Constraints[J]. Proe 1999 ACM-SIGMOD Conf on Management of Data. 1999,(6) :32-40.
  • 3Micheline Kamber, Jiawei Han, Jenny Y. Chiang, Metarule Guided Mining of Multi-Dimensional Assoeiation Rules Using Data Cubes[C]. Proeeeding of the 3rd International Conferenee on Knowledge Discovery and Data Mining. Aug 1997. 207-210.

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