161 search results - page 1 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
CI
2004
13 years 10 months ago
2004
FSKD
2008
Springer
13 years 12 months ago
2008
Springer
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
RSCTC
2010
Springer
13 years 8 months ago
2010
Springer
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
CIDM
2009
IEEE
14 years 5 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
DMIN
2007
14 years 10 days ago
2007
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...