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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2000年第4期68-69,88,共3页
Computer Engineering
关键词
分类
广义关联规则
累积算法
数据采掘
数据库
Taxonomy
Generalized association rules
Basic algorithm
Cumulate algorithm
