Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise.
Fares GrinaZied ElouediEric LefevrePublished in: MDAI (2021)
Keyphrases
- imbalanced datasets
- class imbalance
- majority class
- class noise
- cost sensitive learning
- class distribution
- minority class
- learning from imbalanced data
- ensemble methods
- sampling methods
- active learning
- decision trees
- training dataset
- cost sensitive
- feature selection algorithms
- missing data
- imbalanced data
- feature selection
- binary classification
- prediction accuracy
- kernel function
- support vector machine
- training data