A Novel Oversampling Technique To Handle Imbalanced Datasets.
Ayat MahmoudAyman El-KilanyFarid AliSherif MazenPublished in: ECMS (2020)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- class distribution
- cost sensitive learning
- learning from imbalanced data
- sampling methods
- majority class
- active learning
- imbalanced data
- ensemble methods
- decision trees
- cost sensitive
- training dataset
- classification error
- high dimensionality
- decision boundary
- feature selection
- small number
- probability estimation
- misclassification costs
- nearest neighbour
- original data
- concept drift
- random forest