EMDID: Evolutionary multi-objective discretization for imbalanced datasets.
Marzieh Hajizadeh TahanShahrokh AsadiPublished in: Inf. Sci. (2018)
Keyphrases
- imbalanced datasets
- evolutionary multi objective
- optimization algorithm
- learning from imbalanced data
- cost sensitive learning
- multi objective genetic algorithm
- class distribution
- class imbalance
- ensemble methods
- sampling methods
- multi objective
- decision trees
- imbalanced data
- training dataset
- cost sensitive
- feature selection algorithms
- multi objective optimization
- differential evolution
- fraud detection
- data streams
- bayesian networks
- training data