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基于模糊类层次的广义模糊关联规则挖掘

Mining of Generalized Fuzzy Association Rules Based on Fuzzy Class Hierarchy
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摘要 项目的分类通常是呈模糊类层次,该文基于模糊类层次的概念,讨论模糊关联规则支持度和置信度的计算,并给出挖掘广义模糊关联规则的两个扩展算法。 In many cases,taxonomies(IS-A hierarchies)over the items are fuzzy class hierarchies.Based on the con-cept of fuzzy class hierarchy,this paper discusses computing methods about support and confidence of fuzzy association rules.Tow extended algorithms of mining generalized fuzzy association rules are given.
作者 王新 王勇
出处 《计算机工程与应用》 CSCD 北大核心 2002年第17期206-207,220,共3页 Computer Engineering and Applications
关键词 模糊类层次 广义模糊关联规则 数据挖掘 数据库 Data mining,Fuzzy class hierarchy,Generalized fuzzy association rules
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