On the Performance of Oversampling Techniques for Class Imbalance Problems.
Jiawen KongThiago RiosWojtek KowalczykStefan MenzelThomas BäckPublished in: PAKDD (2) (2020)
Keyphrases
- class imbalance
- high dimensionality
- multi class problems
- binary classification problems
- class distribution
- active learning
- feature selection
- sampling methods
- cost sensitive
- imbalanced datasets
- majority class
- cost sensitive learning
- data sets
- concept drift
- misclassification costs
- learning environment
- bayesian networks
- imbalanced class distribution