FORF-S: A Novel Classification Technique for Class Imbalance Problem.
Yulin JianMao YeYan MinLiang TianGuangjun WangPublished in: IEEE Access (2020)
Keyphrases
- class imbalance
- cost sensitive
- imbalanced datasets
- cost sensitive learning
- active learning
- class distribution
- majority class
- imbalanced data sets
- class noise
- pattern recognition
- imbalanced data
- high dimensionality
- sampling methods
- minority class
- feature selection
- concept drift
- decision trees
- machine learning
- misclassification costs
- multi class
- classification accuracy
- highly skewed
- class imbalanced
- classification models
- training set
- feature space
- support vector
- feature extraction