KNNGAN: an oversampling technique for textual imbalanced datasets.
Mirmorsal MadaniHomayun MotameniHosein MohamadiPublished in: J. Supercomput. (2023)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- sampling methods
- class distribution
- majority class
- learning from imbalanced data
- cost sensitive learning
- imbalanced data
- active learning
- cost sensitive
- high dimensionality
- ensemble methods
- training dataset
- feature selection algorithms
- decision trees
- classification error
- feature selection
- fraud detection
- nearest neighbour
- random sampling
- support vector machine
- misclassification costs
- concept drift
- linear regression
- benchmark datasets