9 search results - page 1 / 2 » Borderline-SMOTE: A New Over-Sampling Method in Imbalanced D... |
ICIC
2005
Springer
13 years 10 months ago
2005
Springer
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
FLAIRS
2008
13 years 7 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...
FLAIRS
2007
13 years 7 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...