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Proceedings Paper

A novel multi-class imbalance method based on the SVDD
Author(s): Dong Cui; Qiang Zhang; Zhimin Miao
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Paper Abstract

In the application of machine learning, there is data imbalance problem generally. In view of multi-class imbalance particularities, in this paper a new method named Multi-SVDD is proposed. And it is presented aimed to solving the problem of multi-class imbalance based on the existing Support Vector Data Description (SVDD), which is used to solve multi-class learning questions and the solution method for two-class imbalance problem. It was verified on the UCI data set, and compared with multi-class classification method proposed. The experiment has indicated that the Multi-SVDD algorithm is efficient when it is used to solve the multi-class imbalanced classification problems.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749856 (30 October 2009); doi: 10.1117/12.832374
Show Author Affiliations
Dong Cui, Hebei Univ. of Engineering (China)
Qiang Zhang, Hebei Univ. of Engineering (China)
Zhimin Miao, PLA Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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