3 search results - page 1 / 1 » SMOTE: Synthetic Minority Over-sampling Technique |
ICIC
2005
Springer
14 years 1 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...
JAIR
2002
13 years 7 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...
FLAIRS
2008
13 years 9 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...