A Data Preprocessing Algorithm Based on Rough Set for SVM Classifier

被引：0

作者：

Huang, Zhiqi ^{[1
]}

Guo, Jun ^{[1
]}

机构：

[1] E China Normal Univ, Ctr Comp, Shanghai 200062, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2013) | 2013年

关键词：

SVM; preprocessing algorithm; rough set; feature;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Support vector machine (SVM) is now widely applied in various areas for its excellent performances. For a data set, usually we use normalization method to deal with the features. However, in many cases, the value of each feature is different. Thus, SVM can't work very well. In this paper, we propose a preprocessing algorithm based on rough set (RS) theory to give different weights on each feature, which can well reflect the value of each feature. The experimental results on real data show that the proposed approach can achieve a fairly improvement of classification accuracy.

引用

页码：441 / 444

页数：4

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