RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem.
Paria SoltanzadehMahdi HashemzadehPublished in: Inf. Sci. (2021)
Keyphrases
- class imbalance
- minority class
- class distribution
- majority class
- class imbalanced
- imbalanced data
- active learning
- imbalanced datasets
- cost sensitive learning
- cost sensitive
- imbalanced class distribution
- training data
- test set
- high dimensionality
- sampling methods
- training set
- small disjuncts
- software defect prediction
- misclassification costs
- concept drift
- classification error
- decision boundary
- test data
- feature selection
- nearest neighbour
- unlabeled data
- original data
- class labels