摘要
指出了原有的"支持度-可信度"评价体系存在的局限性,并在统计相关性理论的支持下对这个评价体系进行了扩展,提出了更能真实反映用户需求和兴趣的"支持度-可信度-相关度"三维评价体系;同时给出了一种用相关性理论对强关联规则进行进一步过滤的算法.
In the field of data-mining, it is very important to evaluate the association rules witch are mined by the Apriori method. This paper pointed out the limitations of Support-Confidence system, and presented a new evaluation system, Support-Confidence-relativity system, which can reflect customers＇ requirement and interest more actu- ally based on statistical correlation.
出处
《常熟理工学院学报》
2010年第2期115-118,共4页
Journal of Changshu Institute of Technology
关键词
数据挖掘
关联规则
评价体系
相关性
data mining
association rules
evaluation system
relativity
