摘要
首先讨论了布尔型关联规则的不足 ,然后提出了线性关联规则的概念 ,详细讨论了线性关联规则的挖掘方法 ,具体给出了线性关联规则的挖掘过程 ,分析了线性关联规则的作用 .还给出了实验结果 。
This paper first discusses the drawbacks of Boolean Association Rules and Quantitive association rules. Then we presents the concept of linear association rules, discuss in detail the method for mining linear association rules, give step by step the procedure for mining linear association rules and analyse the function of linear association rules. We also give the experiment results. The paper concludes with a comparison of linear association rules and Boolean association rules as well as quantitative association rules.
出处
《小型微型计算机系统》
CSCD
北大核心
2001年第11期1349-1352,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金资助
关键词
知识发现
线性关联规则
布尔型关联规则
定量关联规则
数据库
Knowledge discovery
Linear association rules
Boolean association rules
Quantitative association rules
