Immune Centroids Oversampling Method for Binary Classification
Joint Authors
Cui, Zhiming
Zhao, Pengpeng
Sheng, Victor S.
Ai, Xusheng
Wu, Jian
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed.
ICOTE generates a set of immune centroids to broaden the decision regions of the minority class space.
The representative immune centroids are regarded as synthetic examples in order to resolve the imbalance problem.
We utilize an artificial immune network to generate synthetic examples on clusters with high data densities, which can address the problem of synthetic minority oversampling technique (SMOTE), which lacks reflection on groups of training examples.
Meanwhile, we further improve the performance of ICOTE via integrating ENN with ICOTE, that is, ICOTE + ENN.
ENN disposes the majority class examples that invade the minority class space, so ICOTE + ENN favors the separation of both classes.
Our comprehensive experimental results show that two proposed oversampling methods can achieve better performance than the renowned resampling methods.
American Psychological Association (APA)
Ai, Xusheng& Wu, Jian& Sheng, Victor S.& Zhao, Pengpeng& Cui, Zhiming. 2015. Immune Centroids Oversampling Method for Binary Classification. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057662
Modern Language Association (MLA)
Ai, Xusheng…[et al.]. Immune Centroids Oversampling Method for Binary Classification. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057662
American Medical Association (AMA)
Ai, Xusheng& Wu, Jian& Sheng, Victor S.& Zhao, Pengpeng& Cui, Zhiming. Immune Centroids Oversampling Method for Binary Classification. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057662
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057662