摘要
多关系关联规则是通过分析一个关系数据库的多个表中的数据发现存在于单个表以及多个表的属性值之间的规则。本文总结了多关系关联规则中存在的问题,介绍了解决问题的一些技术以及已经提出的算法。
Multi-relational association rule is finding the rules among one and multiple tables’ attribute values through analyze the data of several tables in the relational database. This paper summarizes the problems of multi-relational association rule mining, introduces the existing work and algorithms, and proposes an algorithm to solve the statistical skew in the multi-relational association rule mining from stars. The algorithm avoids the problem of information aggrandizement through scan all the rule.
出处
《微计算机信息》
2010年第27期121-123,共3页
Control & Automation
