An Efficient Reduction Method for Data Mining

被引：0

作者：

Hou, Lifen ^{[1
]}

Wang, Yonghao ^{[2
]}

Liu, Xinyu ^{[2
]}

机构：

[1] Yantai Automot Engn Profess Coll, Dept Elect Engn, Yantai, Peoples R China

[2] Yantai Automot Engn Profess Coll, Dept Vehicle Operat Engn, Yantai, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA) | 2013年

关键词：

Data mining; Attribute reduction; Genetic algorithm; ROUGH SET APPROACH;

D O I：

10.1109/CSA.2013.197

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The objective of this paper is to provide an efficent method to reduce the attributes of an incomplete decision table. By introducing a rough set-based measure into the fitness function of genetic algorithm, a new reduct method is proposed. Experiments show that the proposed method can dealing with the attribute uncertainty more accurately and get the accurate reducts in a fast time.

引用

页码：825 / 828

页数：4

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