ISDA
2010
IEEE
13 years 9 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
JAIR
2002
13 years 11 months ago
2002
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
NIPS
2007
14 years 26 days ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
DAWAK
2008
Springer
14 years 1 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...
DAS
2008
Springer
14 years 1 months ago
2008
Springer
In classification tasks, class-modular strategy has been widely used. It has outperformed classical strategy for pattern classification task in many applications [1]. However, in ...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the ...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
The class imbalance is a critical problem in classification tasks related to many real world applications. A large number of solutions were proposed in literature, both at the al...