Abstract: This thesis introduces the concept of taxonomy and generalized association rules and the problem of mining generalized association rules. First, I describe the basic algorithm. Then I put forward the cumulate algorithm, its optimization and procedure of algorithm. At last. I compare these two algorithms with a set of experiments. The charts of result exhibit that the performance of cumulate algorithm is much better than basic algorithm.

摘要： 描述了分类和广义关联规则的概念及采掘广义关联规则的问题。首先叙述了问题解决的基本算法。随后提出了累积算法，它的优化处理和算法过程。最后通过一组实验显示两个算法的比较结果。图表显示累积算法明显优于基本算法。

关键词: 分类, 广义关联规则, 基本算法, 累积算法

CLC Number: 

• TP311