摘要
粗糙集(Roughset)理论是一个新的数据挖掘方法,其主要思想是保持分类能力不变的情况下,通过属性约简,达到发掘知识并简化知识的目的。本文在理解和分析基于粗糙集理论的数据挖掘算法基础上针对属性约简提出了一个基于条件熵的启发式算法。
Rough set is a new method of data mining.Its basic theory is through attribution reduction,obtaining knowledge with the same ability of classification.In this paper,by the comprehension and analysis of data mining algorihm based on the rough set theory,one heuristic algorithm for attribution reduction based on conditional entropy is proposed.
出处
《长春大学学报》
2004年第6期37-39,共3页
Journal of Changchun University
关键词
粗糙集
属性约简
条件熵
data mining
rough set
attribution reduction
conditional entropy
