摘要
传统的因果规则挖掘算法仅能在简单变量间挖掘因果规则 ,本文给出了一个能够在多值变量X与Y间挖掘形如X →Y的因果规则 ,且有一条件概率矩阵MY|X .
Traditional causal mining techniques are developed for mining causal rules among simple variables. This paper proposes a new approach to identifying causality between a pair of muti-value variables X and Y that is represented in the form X→Y with a conditional probability matrix M Y|X.
出处
《广西师范学院学报(自然科学版)》
2002年第4期77-80,共4页
Journal of Guangxi Teachers Education University(Natural Science Edition)
关键词
数据挖掘
条件概率
数据划分
因果规则
data mining
conditional probability
data partition
causal rule