基于支持度-置信度框架的负关联规则研究

Study on Negative Association Rules Based on Support-Confidence Framework

基于支持度-置信度框架的关联规则存在一些缺陷,它可能产生负关联规则,而这种负关联规则又不容易被发现.实际上负关联规则对于实际应用上的研究很有价值.文中给出了一种负关联规则的判断方法并提出了一种挖掘负关联规则的算法.

The association rules based on the framework of support and confidence have some faults, they lead to Negative Association Rules （NAR）, however, the negative association rules generated are not easily found. In fact, NAR are very valuable in practical applications. A method to estimate NAR is given while a efficient algorithm to mine NAR is proposed in the paper.