Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems.
Markus KächelePatrick ThiamGünther PalmFriedhelm SchwenkerPublished in: ANNPR (2014)
Keyphrases
- class imbalance
- minority class
- majority class
- class distribution
- support vector
- support vector machine
- binary classification
- imbalanced data
- imbalanced datasets
- active learning
- classification error
- cost sensitive learning
- cost sensitive
- original data
- nearest neighbour
- feature selection
- decision boundary
- sampling methods
- training dataset
- training set
- high dimensionality
- kernel function
- misclassification costs
- multi class
- cross validation
- classification accuracy
- support vector machine svm
- model selection
- training examples
- generalization ability
- feature vectors
- data sets