Oversampling technique based on fuzzy representativeness difference for classifying imbalanced data.
Ruonan RenYoulong YangLiqin SunPublished in: Appl. Intell. (2020)
Keyphrases
- imbalanced data
- class imbalance
- minority class
- class distribution
- majority class
- sampling methods
- linear regression
- ensemble methods
- feature selection
- imbalanced datasets
- active learning
- support vector machine
- fuzzy rules
- classification models
- random forest
- decision trees
- ensemble classifier
- cost sensitive learning
- classification error
- ensemble learning
- hyperplane
- cost sensitive