KNNOR: An oversampling technique for imbalanced datasets.
Ashhadul IslamSamir Brahim BelhaouariAtiq ur RehmanHalima BensmailPublished in: Appl. Soft Comput. (2022)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- class distribution
- majority class
- cost sensitive learning
- sampling methods
- active learning
- learning from imbalanced data
- cost sensitive
- imbalanced data
- high dimensionality
- concept drift
- feature selection
- classification error
- decision boundary
- training set
- training data
- decision trees
- training dataset
- misclassification costs
- feature selection algorithms
- test set
- support vector machine
- learning algorithm