Perturbation-based oversampling technique for imbalanced classification problems.
Jianjun ZhangTing WangWing W. Y. NgWitold PedryczPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- class imbalance
- minority class
- class distribution
- active learning
- imbalanced datasets
- cost sensitive
- imbalanced data
- cost sensitive learning
- binary classification problems
- imbalanced class distribution
- sampling methods
- classification error
- rare events
- decision boundary
- imbalanced data sets
- high dimensionality
- data perturbation
- class imbalanced
- databases
- neural network
- perturbation method
- information systems
- machine learning
- nearest neighbour
- training dataset
- ensemble learning
- concept drift
- support vector machine
- search engine