摘要
数据挖掘中数量关联规则挖掘的关键是连续属性离散化问题,本文基于规则约束,以兴趣度为依据,对数量关联规则的区间合并算法进行了研究。
The discretization of continuous attribute is the key problem to quantitative association rules mining in Data Mining.In this paper,the algorithm was researched based on rules constraint according to interestness.
出处
《吉林工程技术师范学院学报》
2009年第9期68-70,共3页
Journal of Jilin Engineering Normal University
关键词
数据挖掘
数量关联规则
约束
兴趣度
data mining
quantitative association rules
constraint
interestness
