Distance-based arranging oversampling technique for imbalanced data.
Qi DaiJian-wei LiuJia-Liang ZhaoPublished in: Neural Comput. Appl. (2023)
Keyphrases
- imbalanced data
- class imbalance
- minority class
- majority class
- class distribution
- sampling methods
- imbalanced datasets
- learning from imbalanced data
- linear regression
- distance measure
- outlier detection
- feature selection
- ensemble methods
- active learning
- classification error
- cost sensitive
- high dimensionality
- cost sensitive learning
- concept drift
- ensemble learning
- support vector machine
- training set
- random forest
- decision trees
- ensemble classifier
- misclassification costs
- classification models
- nearest neighbor
- random forests
- decision boundary
- nearest neighbour
- original data
- feature space