Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data.
Kyoungok KimPublished in: IEEE Access (2021)
Keyphrases
- imbalanced data
- ensemble learning
- ensemble methods
- ensemble classifier
- random forest
- generalization ability
- minority class
- base classifiers
- imbalanced datasets
- imbalanced data sets
- feature selection
- random forests
- prediction accuracy
- concept drift
- base learners
- decision trees
- benchmark datasets
- multi class
- neural network
- data sets
- support vector machine
- classification error
- bayesian networks