聚类多维数字属性的关联规则

Clustering Association Rules with Multi dimensional Numeric Attributes

提出一种有效开采多维数字属性关联规则的算法 .为解决返回规则太多的问题 ,利用聚类技术把开采出来的关联规则进行分类 ,从而使所开采的规则量显著减少 。

To mine the association rules with multi dimensional numeric attribute is a difficult problem in data mining area. In order to solve this problem, the authors propose an efficient algorithm and another algorithm to cluster the association rules with numeric attributes. The large number of association rules are reduced and the results of data mining are much easier to be interpreted.