镇江高专学报Issue(1)：55-57,3.
基于粗糙集的数据挖掘改进属性约简算法研究
Research on the improved algorithm for attribute reduction in rough set based on data mining
卢秀芸1
作者信息
- 1. 江苏联合职业技术学院镇江分院 信息工程系，江苏，镇江 212016
- 折叠
摘要
Abstract
Application of rule extraction algorithm of attribute reduction based on Rough Set Theory is studied in data mining.The data mining of attribute reduction is often based on rough set,and then it is done in accordance with the rules extraction.Based on the investigation to the relevant definition of discernibility matrix,the informa-tion system is more complex and nuclear property element accounts for a small proportion.The algorithm of attribute reduction based on discernibility matrix is improved by using the discernibility matrix structure to establish the basis for a new selection property.关键词
粗糙集/数据挖掘/属性约简/改进Key words
rough set/data mining/attribute reduction/improvement分类
信息技术与安全科学引用本文复制引用
卢秀芸..基于粗糙集的数据挖掘改进属性约简算法研究[J].镇江高专学报,2015,(1):55-57,3.
