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.
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.
出处
《绵阳师范学院学报》
2013年第11期83-87,共5页
Journal of Mianyang Teachers＇ College
关键词
分布式系统
矩阵算法
确定因子法
distributed system
matrix algorithm
no -sure factor algorithm
