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分布式环境下挖掘约束性关联规则的算法研究
引用本文:李宏,陈松乔,杜剑峰.分布式环境下挖掘约束性关联规则的算法研究[J].计算机工程与应用,2003,39(33):8-10,78.
作者姓名:李宏  陈松乔  杜剑峰
作者单位:中南大学信息科学与工程学院,长沙,410083
基金项目:教育部科学技术研究重点项目(编号:[2000]156),国家杰出青年自然科学基金(编号:69928201)
摘    要:关联规则是数据挖掘的重要研究内容。基于约束的关联规则挖掘可以促进交互式探查与分析。该文主要研究了分布式环境中挖掘约束性关联规则的问题。在并行关联规则挖掘算法CD和约束性关联规则挖掘算法Direct的基础上,提出了一种新的分布式挖掘约束性关联规则算法DMA_IC。该算法对于解决分布式挖掘约束性关联规则的问题是十分有效的。同时,文章还对DMA_IC算法的通信性能进行了讨论。

关 键 词:数据挖掘  分布式数据挖掘  约束性关联规则
文章编号:1002-8331-(2003)33-0008-03

An Algorithm Research for Distributed Association Rules Mining with Item Constraints
Li Hong Chen Songqiao Du Jianfeng.An Algorithm Research for Distributed Association Rules Mining with Item Constraints[J].Computer Engineering and Applications,2003,39(33):8-10,78.
Authors:Li Hong Chen Songqiao Du Jianfeng
Abstract:Associati on rule mining is an important task of data mining.We can accelerate interactiv e discovery and analysis by using the association rule mining based on item cons traints.In this paper,we study the problem of mining association rule with it em constraints in distributed databases,and present a new algorithm for distri buted mining association rules with item constraints called DMA_IC.We have pr oved that the algorithm is an effective way to resolve the problem of distribute d mining association rules with item constraints.At the same time ,we also discuss the communication performance of this algorithm.
Keywords:data mining  distributed data mining(DDM)  association rules with item constraints
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