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基于神经网络规范约束的关联规则挖掘
引用本文:张磊,钟勇. 基于神经网络规范约束的关联规则挖掘[J]. 计算机应用, 2002, 22(6): 29-31
作者姓名:张磊  钟勇
作者单位:中国科学院,成都计算机应用研究所,四川,成都,610041;中国科学院,成都计算机应用研究所,四川,成都,610041
摘    要:分析了现有关联规则挖掘所潜在的问题,给出了约束关联查询的定义和基于神经网络规范约束集的构建;在此基础上,提出了基于神经网络规范约束的关联规则挖掘解决方案(CARMRNN),并给出了其体系框图和实现算法。

关 键 词:BP神经网络  约束  关联规则  数据挖掘
文章编号:1001-9081(2002)06-0029-03
修稿时间:2002-01-24

CONSTRAINED ASSOCIATIONS RULE MININGBASED ON NEURAL NETWORK
ZHANG Lei,ZHONG Yong. CONSTRAINED ASSOCIATIONS RULE MININGBASED ON NEURAL NETWORK[J]. Journal of Computer Applications, 2002, 22(6): 29-31
Authors:ZHANG Lei  ZHONG Yong
Abstract:This paper first analyses the problems motivated by the present-day model of association mining from very large databases. Then a constrained association query is defined and constraints regulated by neural network is designed. Based on these, we propose a model named constrained associations rules mining regulated by neural network, following with its architecture and algorithm. In the end, this paper prospects the correlative work in the future.
Keywords:BP neural network  constraint  association rules  data mining  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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