Asymmetric classifier based on kernel PLS for imbalanced data

Ying Ma; Bing Huang Su; Shunzhi Zhu; Wei Weng; Liang Huang; Jianqiang Hu

doi:10.1109/ICCSE.2015.7250294

Asymmetric classifier based on kernel PLS for imbalanced data

Ying Ma
, Bing Huang Su
, Shunzhi Zhu
, Wei Weng
, Liang Huang
, Jianqiang Hu

Xiamen University of Technology
Providence University Taiwan
National Computer Network Emergency Response Technical Team/Coordination Center of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In classification tasks, class imbalance problem has been reported to hinder the performance of some standard classifiers, such as nearest neighbors algorithm. This paper presents an improvement to kernel partial least squares classifier (KPLSC) is proposed to deal with the class imbalance problem. This improvement is applicable to all cases no matter whether the data sets are linearly separable or not. Experiments on datasets from different domains show that the improvement performs well in classification problems.

Original language	English
Title of host publication	10th International Conference on Computer Science and Education, ICCSE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	482-485
Number of pages	4
ISBN (Electronic)	9781479965984
DOIs	https://doi.org/10.1109/ICCSE.2015.7250294
State	Published - 9 Sep 2015
Externally published	Yes
Event	10th International Conference on Computer Science and Education, ICCSE 2015 - Cambridge, United Kingdom Duration: 22 Jul 2015 → 24 Jul 2015

Publication series

Name	10th International Conference on Computer Science and Education, ICCSE 2015

Conference

Conference	10th International Conference on Computer Science and Education, ICCSE 2015
Country/Territory	United Kingdom
City	Cambridge
Period	22/07/15 → 24/07/15

Keywords

class imbalance
classification
data mining
kernel method

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10.1109/ICCSE.2015.7250294

Cite this

Ma, Y., Su, B. H., Zhu, S., Weng, W., Huang, L., & Hu, J. (2015). Asymmetric classifier based on kernel PLS for imbalanced data. In 10th International Conference on Computer Science and Education, ICCSE 2015 (pp. 482-485). Article 7250294 (10th International Conference on Computer Science and Education, ICCSE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSE.2015.7250294

@inproceedings{e4285b094f4a4c568a149384bb2ace0d,

title = "Asymmetric classifier based on kernel PLS for imbalanced data",

abstract = "In classification tasks, class imbalance problem has been reported to hinder the performance of some standard classifiers, such as nearest neighbors algorithm. This paper presents an improvement to kernel partial least squares classifier (KPLSC) is proposed to deal with the class imbalance problem. This improvement is applicable to all cases no matter whether the data sets are linearly separable or not. Experiments on datasets from different domains show that the improvement performs well in classification problems.",

keywords = "class imbalance, classification, data mining, kernel method",

author = "Ying Ma and Su, \{Bing Huang\} and Shunzhi Zhu and Wei Weng and Liang Huang and Jianqiang Hu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th International Conference on Computer Science and Education, ICCSE 2015 ; Conference date: 22-07-2015 Through 24-07-2015",

year = "2015",

month = sep,

day = "9",

doi = "10.1109/ICCSE.2015.7250294",

language = "英语",

series = "10th International Conference on Computer Science and Education, ICCSE 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "482--485",

booktitle = "10th International Conference on Computer Science and Education, ICCSE 2015",

address = "美国",

}

Ma, Y, Su, BH, Zhu, S, Weng, W, Huang, L & Hu, J 2015, Asymmetric classifier based on kernel PLS for imbalanced data. in 10th International Conference on Computer Science and Education, ICCSE 2015., 7250294, 10th International Conference on Computer Science and Education, ICCSE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 482-485, 10th International Conference on Computer Science and Education, ICCSE 2015, Cambridge, United Kingdom, 22/07/15. https://doi.org/10.1109/ICCSE.2015.7250294

Asymmetric classifier based on kernel PLS for imbalanced data. / Ma, Ying; Su, Bing Huang; Zhu, Shunzhi et al.
10th International Conference on Computer Science and Education, ICCSE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 482-485 7250294 (10th International Conference on Computer Science and Education, ICCSE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Asymmetric classifier based on kernel PLS for imbalanced data

AU - Ma, Ying

AU - Su, Bing Huang

AU - Zhu, Shunzhi

AU - Weng, Wei

AU - Huang, Liang

AU - Hu, Jianqiang

PY - 2015/9/9

Y1 - 2015/9/9

N2 - In classification tasks, class imbalance problem has been reported to hinder the performance of some standard classifiers, such as nearest neighbors algorithm. This paper presents an improvement to kernel partial least squares classifier (KPLSC) is proposed to deal with the class imbalance problem. This improvement is applicable to all cases no matter whether the data sets are linearly separable or not. Experiments on datasets from different domains show that the improvement performs well in classification problems.

AB - In classification tasks, class imbalance problem has been reported to hinder the performance of some standard classifiers, such as nearest neighbors algorithm. This paper presents an improvement to kernel partial least squares classifier (KPLSC) is proposed to deal with the class imbalance problem. This improvement is applicable to all cases no matter whether the data sets are linearly separable or not. Experiments on datasets from different domains show that the improvement performs well in classification problems.

KW - class imbalance

KW - classification

KW - data mining

KW - kernel method

UR - https://www.scopus.com/pages/publications/84957900608

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DO - 10.1109/ICCSE.2015.7250294

M3 - 会议稿件

AN - SCOPUS:84957900608

T3 - 10th International Conference on Computer Science and Education, ICCSE 2015

SP - 482

EP - 485

BT - 10th International Conference on Computer Science and Education, ICCSE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Computer Science and Education, ICCSE 2015

Y2 - 22 July 2015 through 24 July 2015

ER -

Ma Y, Su BH, Zhu S, Weng W, Huang L, Hu J. Asymmetric classifier based on kernel PLS for imbalanced data. In 10th International Conference on Computer Science and Education, ICCSE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 482-485. 7250294. (10th International Conference on Computer Science and Education, ICCSE 2015). doi: 10.1109/ICCSE.2015.7250294

Asymmetric classifier based on kernel PLS for imbalanced data

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