Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning.
Fares GrinaZied ElouediEric LefevrePublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- belief functions
- ensemble learning
- dempster shafer
- class imbalanced data
- probability theory
- ensemble methods
- generalization ability
- multicriteria decision making
- feature selection
- handling uncertainty
- imprecise probabilities
- random forest
- fuzzy numbers
- mutual subspace method
- change detection
- knn
- feature vectors
- data sets
- base classifiers
- nearest neighbor
- prior knowledge
- data streams
- genetic algorithm