An iterative undersampling of extremely imbalanced data using CSVM.
Jong Bum LeeJee-Hyong LeePublished in: ICMV (2014)
Keyphrases
- imbalanced data
- class imbalance
- majority class
- class distribution
- linear regression
- minority class
- sampling methods
- learning from imbalanced data
- imbalanced datasets
- active learning
- random forest
- feature selection
- ensemble methods
- decision trees
- classification models
- cost sensitive
- support vector machine
- high dimensionality
- concept drift
- decision boundary
- cost sensitive learning
- multi class
- training set