摘要
传统的关联规则挖掘是单向的,不能确定"相互依赖"的规则,找到的规则不一定是有意义的,甚至是错误的。鉴于此,本文在分析的基础上,提出双向关联规则挖掘算法。并根据其相关性找出对我们有意义的规则。
The traditional association rule mining is one-way and can not determine the 'interdependence' rule,the rule is not necessarily to find meaningful,or even wrong.In view of this,this paper,based on the analysis put forward a two-way algorithm for mining association rules.And according to their relevance for us to find a meaningful rules.
出处
《信息与电脑(理论版)》
2010年第1期127-128,共2页
China Computer & Communication
关键词
双向关联规则
频繁项集
相关性
two-way association rules
frequent item sets
relevance