Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines.
Josey MathewChee Khiang PangMing LuoWeng Hoe LeongPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- imbalanced data
- support vector
- class imbalance
- kernel space
- support vector machine
- hyperplane
- svm classifier
- minority class
- classification accuracy
- feature selection
- maximum margin
- class distribution
- generalization ability
- classification models
- cross validation
- linear regression
- kernel function
- decision trees
- support vector machine svm
- binary classification
- training examples
- feature extraction
- sampling methods
- pattern classification
- machine learning
- pattern recognition
- training set
- kernel methods
- machine learning methods
- data sets
- class labels
- principal components
- model selection
- text classification
- image classification
- active learning
- high dimensionality
- support vectors
- classification algorithm
- cost sensitive learning
- machine learning algorithms