应用聚类方法研究了数量关联规则提取过程中的连续属性离散化问题。
This paper presents a cluster method for discretization in the processing of mining quantitative association rules.
关联规则的发现是数据挖掘的一个重要方面，而数量关联规则的发现不同于传统的布尔型关联规则。
Discovering association rules is an important data mining problem. While discovering Quantitative association rules differs from traditional Boolean association rules.
当您展开这棵树时，每一个规则类别和规则都显示出生成结果的数量，并且列出和该规则相关联的资源(请参见图17所示)。
When you expand the tree, each rule category and rule displays the number of results generated and lists the resources that are associated with the rule (see Figure 17).
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