摘要
量化关联规则挖掘的一个关键问题是对连续数量值属性的划分,论文采用模糊划分来解决这个问题,实现了数据的平滑过渡,并在此基础上给出了模糊量化关联规则的形式化定义和挖掘算法。
A key problem of mining quantitative association rules is to partition continuous quantitative attribute.It is handled in this paper by using fuzzy partition,which provides a smooth transition of data partition.Formal definition of fuzzy quantitative association rules and a mining algorithm are proposed based on fuzzy theory.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第18期190-192,共3页
Computer Engineering and Applications
基金
部委预研基金项目
关键词
数据挖掘
量化关联规则
模糊方法
Data mining,Quantitative association rules,Fuzzy method
