常项集产生的算法及兴趣度量

Algorithm of Produce Frequent Itemsets and Interest Measure

本文引入在关系数据库中包含定量和范围属性关联规则的挖掘问题 ,这种技术的一个直接应用可以生成许多类似的规则。给出为挖掘定量关联规则所需的兴趣度量及常项集产生的算法。

In this paper,by introducing the problem of mining association rules in relational tables containing both quantitative and categorical attributes,a direct application of this technique can generate many similar rules.Interest measure and algorithm of produce frequent itemsets are given for mining quantitative association rules.