摘要
探讨数据挖掘过程中,数据预处理应用粗糙集理论进行属性和属性值约简的方法以及用计算机实现约简的算法.通过对医疗数据的预处理表明,利用粗糙集理论来进行数据预处理是一种十分有效的精简、求最小决策算法的有效方法.
Introducing the basis theory of Rough Set, the present paper probes into the approach to the reduction of property and its value by employing the theory of Rough Set in the data pre- processing, and reduction algorism with a computer. By giving examples , the paper illustrates that employing the theory of Rough Set in data pre - processing is a very effective way of simplification and of extracting minimum strategic algorism.
出处
《广西师范学院学报（自然科学版）》
2006年第4期87-92,共6页
Journal of Guangxi Teachers Education University(Natural Science Edition)
关键词
粗糙集
数据预处理
分辨矩阵
约简求核
rough set
data pre-processing
discemable matrix
reduction finding core
