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分布式环境下关联规则挖掘技术实例分析
引用本文:靳祥.分布式环境下关联规则挖掘技术实例分析[J].绵阳师范高等专科学校学报,2013(11):83-87.
作者姓名:靳祥
作者单位:电子科技大学计算机学院,四川成都610054
摘    要:分布式数据库系统中存储了海量数据,在这些数据的背后,蕴涵着大量有价值的知识。这些知识的挖掘已成为继数据库本身研究之后十分重要的方向之一.该文根据分布式数据库的特点,提出了一种在其上的关联规则挖掘系统.该系统利用矩阵工具挖掘局部关联规则,并采用了不确定性推理方法来融合各局部关联规则.从而提高了局部关联规则挖掘效率和和全局关联规则的准确率.

关 键 词:分布式系统  矩阵算法  确定因子法

Instance Analysis of Exploration Technology of Association Rules Based on Distributed System
JIN Xiang.Instance Analysis of Exploration Technology of Association Rules Based on Distributed System[J].Journal of Mianyang Teachers College,2013(11):83-87.
Authors:JIN Xiang
Institution:JIN Xiang ( College of Computer, University of Electronic Science & Technology of China, Chengdu, Sichuan 610054)
Abstract:Distributed database system has a large number of data, which possesses much important and use- ful knowledge among the data. Data - exploring and knowledge - seeking have been an important research field based on the database. According to the character of distributed system, the design of rule - related mining system was introduced, adopting the matrix algorithm to explore partly -related rules, and no -sure conclusion to merge them. With these techniques and methods, the rule - related exploring system improve the effectiveness and accu- racy of the all related rules.
Keywords:distributed system  matrix algorithm  no -sure factor algorithm
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