Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems

Undersampling is a widely adopted method to deal with imbalance pattern classification problems. Current methods mainly depend on either random resampling on the majority class or resampling at the decision boundary. Random-based undersampling fails to take into consideration informative samples in...

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Bibliographic Details
Published in:IEEE transactions on cybernetics, Vol. 45, No. 11 (2015), p. 2402-12
Main Author: Ng, Wing W Y
Other Involved Persons: Hu, Junjie ; Yeung, Daniel S ; Yin, Shaohua ; Roli, Fabio
Format: electronic Article
Language:English
ISSN:2168-2275
Item Description:Date Completed 12.01.2016
Date Revised 16.10.2015
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
Copyright: From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Physical Description:Online-Ressource
DOI:10.1109/TCYB.2014.2372060
Subjects:
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