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关联规则剪枝的运用
引用本文:邵谨荣,张万军. 关联规则剪枝的运用[J]. 数字社区&智能家居, 2009, 0(30)
作者姓名:邵谨荣  张万军
作者单位:上海立达职业技术学院计算机系;北京科技大学知识工程研究所;
摘    要:
该文重点介绍了最新的一种关联规则后处理的方法,并且我们提出了这种方法的优化算法,能够有效去除关联规则集合中的无趣模式,并且为模式的可视化提供了良好的工具。相关实验表明该方法具有更好的模式后处理能力。

关 键 词:数据挖掘  剪枝  关联规则后处理  有向超图  关联规则网  

Survey of Association Rules Mining
SHAO Jin-rong,ZHANG Wan-jun. Survey of Association Rules Mining[J]. Digital Community & Smart Home, 2009, 0(30)
Authors:SHAO Jin-rong  ZHANG Wan-jun
Affiliation:SHAO Jin-rong1,ZHANG Wan-jun2 (1.Department of Computing,Shanghai Lida Polytechnic Institute,Shanghai 201600,China,2. Institute of Knowledge Engineering,University of Science , Technology Beijing,Beijing 100083,China)
Abstract:
A focus on the latest treatment methods association rules,and we have also proposed that the method optimization algorithm Set to effectively remove the boring pattern of association rules,as well as provide a good model visualization tools. Related experiments show that the method has a better ability to deal with the model.
Keywords:data mining  pruning rules  association rules post processing  directed hypergraphs  association rules network  
本文献已被 CNKI 等数据库收录!
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