DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets.
Alexandre Miguel de CarvalhoRonaldo C. PratiPublished in: Inf. (2020)
Keyphrases
- imbalanced data sets
- delaunay triangulation
- class imbalance
- minority class
- class distribution
- classification error
- cost sensitive
- rare events
- imbalanced data
- imbalanced datasets
- active learning
- cost sensitive learning
- sampling methods
- decision boundary
- nearest neighbour
- high dimensionality
- support vector machine
- training data
- training set
- concept drift
- concept learning
- feature selection
- training dataset
- training samples
- misclassification costs
- original data
- multi class
- class labels
- test set
- decision trees