LoRAS: an oversampling approach for imbalanced datasets.
Saptarshi BejNarek DavtyanMarkus WolfienMariam NassarOlaf WolkenhauerPublished in: Mach. Learn. (2021)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- class distribution
- cost sensitive learning
- sampling methods
- majority class
- learning from imbalanced data
- cost sensitive
- active learning
- imbalanced data
- training dataset
- high dimensionality
- support vector machine
- decision boundary
- classification error
- concept drift
- training set
- feature selection
- feature selection algorithms
- original data
- fraud detection
- nearest neighbour
- test set