A NEW SUPPORT VECTOR MACHINE FOR IMBALANCE DATA CLASSIFICATION

yellowgreatAI and Robotics

Oct 16, 2013 (4 years and 27 days ago)

82 views

Intelligent Automation and Soft Computing, Vol. 18, No. 6, pp. 679-686, 2012
Copyright © 2012, TSI
®
Press
Printed in the USA. All rights reserved
679
A
NEW SUPPORT VECTOR MACHINE FOR IMBALANCE DATA
CLASSIFICATION
F
ENGQING
H
AN
1
,

M
ING LEI
1
,

W
ENJUAN
Z
HAO
2
,

J
IANXI
Y
ANG
3

1
School of Science, Chongqing Jiaotong University
Chongqing, P. R. China
e-mail: hanfengqing@cqut.edu.cn
2
Zondy Cyber Group Co., Ltd
Wuhan, P. R. China
3
School of Information Science and Engineering
Chongqing Jiaotong University
Chongqing, P. R.China
e-mail: yjx@cquc.edu.cn
ABSTRACT—Support vector machine has a better classification and prediction
performance on balance data classification, but has a poor performance for imbalance
data. In this paper, the reason of the poor results which were produced by imbalance data
is explained. And a new approach is proposed to solve the imbalance data classification.
By this method the imbalance data problem is converted to several independent
classifications with balance data and can be trained in parallel. The experiments show
that new method has a best effect in some classifying strategy.