Subspace-based minority oversampling for imbalance classification.
Tianjun LiYingxu WangLicheng LiuLong ChenC. L. Philip ChenPublished in: Inf. Sci. (2023)
Keyphrases
- class imbalance
- class distribution
- majority class
- minority class
- feature space
- pattern recognition
- feature extraction
- classification scheme
- pattern classification
- cost sensitive
- support vector machine svm
- training samples
- classification accuracy
- classification method
- active learning
- cost sensitive learning
- support vector
- class imbalanced
- automatic classification
- learning algorithm
- classification models
- imbalanced datasets
- classification algorithm
- decision rules
- class labels
- text classification
- image classification
- feature vectors
- feature selection
- machine learning
- benchmark datasets
- feature selection algorithms
- low dimensional
- principal component analysis
- high dimensional
- clustering algorithm
- subspace analysis