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基于模糊关联规则的NCRE数据分析

NCRE Data Analysis Based on Fuzzy Association Rules
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摘要 在对NCRE数据进行预处理的基础上,通过定义模糊事物数据库,将模糊集与经典关联规则算法结合起来,提出了一种模糊关联规则的数据挖掘算法,将其应用于NCRE数据分析,收到了较好的效果。 Based on pretreating NCRE data, fuzzy set and typical algorithm of association rules is combined through defining the fuzzy transaction database. Then a new mining algorithm is put forward on the basis of fuzzy association roles and is applied to the analysis of NCRE data, which is proved to be effective and feasible.
作者 何利平
出处 《湛江海洋大学学报》 CAS 2006年第1期67-70,共4页 Journal of Zhanjiang Ocean University
关键词 模糊集 关联规则 NCRE fuzzy set association rule NCRE
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参考文献2

  • 1Agrawal R,Imielinski T,Swami A.Mining association rules between sets of items in large databases[C].// Proceedings of the ACM SIGMOD Conference on Management of Data.Washington:ACM Press,1993:207-216.
  • 2Agrawal R,Srikant R,Vu Q.Mining association rules with item constraints[C].//The Third International Conference on Knowledge Discovery in Databases and Data Mining.California:August,1997:327-331.

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