An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification.
Md. Yasir ArafatSabera HoqueShuxiang XuDewan Md. FaridPublished in: SKIMA (2019)
Keyphrases
- support vectors
- multi class
- support vector machine
- support vector
- svm classifier
- kernel function
- multi class classification
- hyperplane
- feature selection
- decision boundary
- binary classification
- training dataset
- support vector machine svm
- training samples
- input space
- training data
- feature vectors
- feature space
- training examples
- training set
- kernel methods
- data mining
- ls svm
- binary classifiers
- cost sensitive
- k nearest neighbor
- machine learning
- classification accuracy
- pairwise
- base classifiers
- small number