Framework for extreme imbalance classification: SWIM - sampling with the majority class.
Colin BellingerShiven SharmaNathalie JapkowiczOsmar R. ZaïanePublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- majority class
- class imbalance
- minority class
- class distribution
- imbalanced data
- highly skewed
- imbalanced datasets
- decision boundary
- training set
- cost sensitive learning
- sampling methods
- pattern classification
- feature selection
- classification accuracy
- benchmark datasets
- decision trees
- cost sensitive
- classification error
- feature extraction
- attribute selection
- misclassification costs
- decision rules
- machine learning methods
- text classification
- active learning
- machine learning
- support vector
- feature space
- feature vectors
- ensemble classifier
- semi supervised
- model selection
- high dimensionality