SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling.
Hongjiao GuanYingtao ZhangMin XianHeng-Da ChengXianglong TangPublished in: Appl. Intell. (2021)
Keyphrases
- class imbalance
- high dimensionality
- small sample
- class distribution
- active learning
- cost sensitive
- high dimensional
- minority class
- imbalanced datasets
- cost sensitive learning
- majority class
- concept drift
- feature selection
- sampling methods
- class imbalanced
- imbalanced data
- dimensionality reduction
- high dimensional data
- support vector machine
- training set
- microarray
- unlabeled data
- principal component analysis
- nearest neighbor
- multi class
- feature space
- data analysis
- imbalanced data sets
- learning algorithm