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DAWAK
2008
Springer

Selective Pre-processing of Imbalanced Data for Improving Classification Performance

13 years 5 months ago
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local over-sampling of the minority class with filtering difficult examples from the majority classes. In experiments focused on rule-based and tree-based classifiers we compare our approach with two other related pre-processing methods
Jerzy Stefanowski, Szymon Wilk
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DAWAK
Authors Jerzy Stefanowski, Szymon Wilk
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