Kernel-based SMOTE for SVM classification of imbalanced datasets.
Josey MathewMing LuoChee Khiang PangHian-Leng ChanPublished in: IECON (2015)
Keyphrases
- svm classification
- imbalanced datasets
- support vector machine
- imbalanced data
- minority class
- support vector
- svm classifier
- support vector machine svm
- kernel methods
- kernel function
- class distribution
- multi class
- cost sensitive learning
- machine learning
- k nearest neighbor
- cost sensitive
- feature selection
- class imbalance
- feature vectors
- decision boundary
- classification algorithm
- decision trees
- generalization ability
- knn
- hyperplane
- ensemble methods
- training dataset
- sampling methods
- feature space
- cross validation
- training set
- data sets
- training process
- support vectors
- image classification