A fuzzy rough set-based undersampling approach for imbalanced data.
Xiao ZhangZhaoqian HeYanyan YangPublished in: Int. J. Mach. Learn. Cybern. (2024)
Keyphrases
- imbalanced data
- class imbalance
- majority class
- class distribution
- ensemble methods
- linear regression
- sampling methods
- imbalanced datasets
- minority class
- rough sets
- fuzzy logic
- support vector machine
- active learning
- rough set theory
- cost sensitive
- ensemble classifier
- concept drift
- random forest
- classification models
- feature selection
- high dimensionality
- fuzzy rules
- cost sensitive learning
- prediction accuracy
- least squares
- nearest neighbor
- training data