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基于分布式系统的关联规则挖掘算法

A Mining Algorithm for Association Rules Based on Distributed System
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摘要 分布式算法具有高度的适应性、可伸缩性、低性能损耗和容易连接等特性,可以作为挖掘关联规则的理想平台。分布式系统环境下实现高效分布式算法的方法。数据挖掘同关系数据库的关系,实现算法对数据库结构的要求,明确在实现中需要解决的几个核心问题。 Distributed algorithm has the characteristics of adaptability,scalability,low-performance loss,and easy connection,which can be used as an ideal platform to mine association rules.Under the environment of distributed system,we can realize the method of high efficient distributed algorithm.This paper researches several fields people focus on at present,such as: the relationship between data mining and data,the requirement of realizing algorithm for data structure,and some problems to be solved in the implement of process.
作者 霍桂利
出处 《山西广播电视大学学报》 2011年第6期51-53,共3页 Journal of Shanxi Radio & TV University
关键词 分布式系统关联规则 数据挖掘 数据库 APRIORI算法 源数据集 association rules of distributed system data mining data Apriori algorithm data source
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