摘要
正关联规则与负关联规则有着同样重要的作用,而传统的关联规则算法只能挖掘正关联规则.本文对关联规则的相关度进行判断,并在此基础上提出了一个能同时挖掘正负关联规则的算法,实验证明改进算法是有效的.
Positive Rules play the same important role as Negative Association Rules, but traditional algorithms can only discover the positive association rules. This paper checks the correlation of association rules and an algorithm is proposed to discover both positive and negative association rules. Experiment results demonstrate that the new algorithm is efficient.
出处
《佳木斯大学学报(自然科学版)》
CAS
2007年第3期327-329,共3页
Journal of Jiamusi University:Natural Science Edition
关键词
关联规则
关联度
支持度
置信度
概率统计
association rules
relevancy
support
confidence
probability and mathematical statistics