Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification.
Jinjun RenYuping WangYiu-ming CheungXiao Zhi GaoXiaofang GuoPublished in: Pattern Recognit. (2023)
Keyphrases
- kernel space
- imbalanced data classification
- minority class
- class imbalance
- feature selection
- principal components
- hyperplane
- feature space
- maximum margin
- high dimensional
- decision boundary
- support vector machine
- class distribution
- selected features
- active learning
- classification error
- sampling methods
- pattern classification
- dimensionality reduction
- feature subset
- original data
- prediction accuracy
- decision trees
- data sets