摘要
关联规则挖掘是数据挖掘中重要的研究课题,而其中一个重要问题是对挖掘出的规则的感兴趣程度的评估。分析并讨论了传统支持度-置信度框架、相关度和有效度等衡量标准的不足,并将T检验思想引入到关联规则的衡量中,提出了一种新的关联规则衡量标准-影响度。实验结果表明,在传统挖掘方法的基础上引入影响度,可以有效克服现有衡量标准的一些不足,减少冗余规则的产生。
Discovering association rules is one of more important tasks in data mining.One of the important problems is the evaluation of interestingness for the discovered rules.Authors analyze and discuss the shortage of the support-confidence framework,the correlativity and the validity.With introducing T-Testing,authors propose the Effect that is a new evaluation criterion for associa- tion rules.The experimental result shows that introducing effect based on common approach to association rules mining can effec- tively overcome the shortage of the existing evaluation criterion for association rules, and reduce the creation of redundant rules.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第8期141-142,177,共3页
Computer Engineering and Applications
关键词
关联规则
T检验
影响度
衡量标准
association rule
T-Testing
influence degree
evaluation criterion
