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一种基于分布式数据库的全局频繁项挖掘算法

An Algorithm for Mining Global Frequent Item-sets Based on Distributed Database
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摘要 针对FDM(Fast Distributed Association Rules Mining)可能会出现全局频繁项集丢失的问题,引入双射空间的思想和标识位,提出一种DS-CFDM(Double space-Fast Distributed association rules Mining based on Center)算法,算法实现通过一中心站点来协调信息的传输以此来减少网络通信的负担。 Aiming at the Fast Distributed association rules Mining ( FDM) algorithm which perhaps loses some global frequent Kitem sets,an improved algorithm,named as DS-CFDM,is presented to solve the problems of FDM. The improved algorithm introduces the ideas of dual-space and identification bit. In order to reduce the burden of network,a center site is used to coordinate the information transmission during the implementation of the algorithm.
作者 邓丽君
出处 《计算机与现代化》 2010年第6期17-20,共4页 Computer and Modernization
关键词 分布式数据库 全局频繁项 数据挖掘 FDM DS-CFDM distributed database global frequent item-sets data mining FDM DS-CFDM
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