A novel oversampling and feature selection hybrid algorithm for imbalanced data classification.
Fang FengKuan-Ching LiErfu YangQingguo ZhouLihong HanAmir HussainMingjiang CaiPublished in: Multim. Tools Appl. (2023)
Keyphrases
- hybrid algorithm
- imbalanced data classification
- feature selection
- class imbalance
- particle swarm optimization
- simulated annealing
- minority class
- standard test problems
- ant colony optimization
- tabu search
- genetic algorithm
- text categorization
- hybrid optimization algorithm
- support vector machine
- imperialist competitive algorithm
- particle swarm optimization pso
- feature set
- classification accuracy
- optimal solution
- differential evolution
- high dimensionality
- active learning
- machine learning
- optimization method
- support vector
- metaheuristic
- text classification
- multi objective
- meta learning
- feature vectors
- evolutionary algorithm
- feature subset
- dimensionality reduction
- multi task
- class distribution
- feature selection algorithms
- feature space
- training set
- feature extraction
- data points
- decision trees