Attribute reduction based on granular computing

被引：0

作者：

Hu, Jun ^{[1
]}

Wang, GuoYin

Zhang, QingHua

Liu, XianQuan

机构：

[1] Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China

[2] Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China

[3] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Sichuan, Peoples R China

来源：

ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS | 2006年 / 4259卷

关键词：

granular computing; rough set; attribute reduction; bitmap technique;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Attribute reduction is a very important issue in data mining and machine learning. Granular computing is a new kind of soft computing theory. A novel method for encoding granules using bitmap technique is proposed in this paper. A new attribute reduction method based on granular computing is also developed with this encoding method. It is proved to be efficient.

引用

页码：458 / 466

页数：9

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