Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2404-2408

Method based on decomposition strategy for handling multi-class imbalance problems

Xu Zuoning
Luo Xinggang
Zhang Zhongliang
School of Management, Hangzhou Dianzi University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2018.12.0960

Abstract

This paper proposed a new approach based on decomposition strategy to deal with multi-class imbalance classification problems. The method first divided the original multi-class classification problem into several binary class subproblems by using one versus scheme. Next, it built binary classifiers by employing the classification algorithms for binary class imbalance problems. Then, it used the SMOTE algorithm to deal with the original dataset and considered distance-based relative competence weighting method to manage the non-competent classifiers. Finally, it employed the weighted voting to obtain the outputs. Experiments on several imbalanced datasets selected from the KEEL dataset repository indicate that the performance of the proposed method is better than other state-of-the-art methods.

Foundation Support

国家自然科学基金资助项目(71801065,71771070)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0960
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2404-2408
Serial Number: 1001-3695(2020)08-034-2404-05

Publish History

[2020-08-05] Printed Article

Cite This Article

徐作宁, 雒兴刚, 张忠良. 基于分解策略处理多分类不均衡问题的方法 [J]. 计算机应用研究, 2020, 37 (8): 2404-2408. (Xu Zuoning, Luo Xinggang, Zhang Zhongliang. Method based on decomposition strategy for handling multi-class imbalance problems [J]. Application Research of Computers, 2020, 37 (8): 2404-2408. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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