Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets.
Chih-Fong TsaiWei-Chao LinPublished in: IEEE Access (2021)
Keyphrases
- ensemble learning
- imbalanced datasets
- minority class
- ensemble methods
- feature selection
- class imbalance
- imbalanced data
- feature selection algorithms
- concept drift
- ensemble classifier
- generalization ability
- class distribution
- prediction accuracy
- feature subset
- base classifiers
- decision trees
- random forest
- base learners
- high dimensionality
- machine learning methods
- benchmark datasets
- text classification
- cost sensitive learning
- binary classification
- sampling methods
- multi class
- change detection
- active learning
- support vector machine
- binary classifiers
- multi class classification
- dimensionality reduction
- unlabeled data
- bayesian networks
- feature extraction
- support vector
- data streams