Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers

Volume: 18, Issue: 1, Pages: 95 - 112
Published: Jan 1, 2014
Abstract
200 words for Intelligent Data Systems The class imbalance problem is a relatively new challenge that has attracted growing attention from both industry and academia, since it strongly affects classification performance. Research also established that class imbalance is not an issue by itself, but its relationship with class overlapping and noise has an important impact on the prediction performance and stability. This fact has motivated the...
Paper Details
Title
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers
Published Date
Jan 1, 2014
Volume
18
Issue
1
Pages
95 - 112
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