Applying instance-weighted support vector machines to class imbalanced datasets.
Xiaoguang WangXuan LiuStan MatwinNathalie JapkowiczPublished in: IEEE BigData (2014)
Keyphrases
- imbalanced datasets
- support vector
- learning machines
- class distribution
- ensemble methods
- learning from imbalanced data
- cost sensitive learning
- multi class classification
- imbalanced data
- sampling methods
- support vector machine
- class imbalance
- decision trees
- minority class
- generalization ability
- feature selection
- feature selection algorithms
- fraud detection
- ensemble learning
- hyperplane
- misclassification costs
- loss function
- classification error
- binary classification
- cost sensitive
- cross validation
- class labels
- kernel function
- learning algorithm