207 search results - page 1 / 42 » A Minority Class Feature Selection Method |
CIARP
2011
Springer
12 years 4 months ago
2011
Springer
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
FLAIRS
2008
13 years 6 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
DAWAK
2008
Springer
13 years 6 months ago
2008
Springer
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 ov...
SDM
2010
SIAM
13 years 5 months ago
2010
SIAM
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
BMCBI
2004
13 years 4 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...