Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification.
Xinmin TaoQing LiWenjie GuoChao RenChenxi LiRui LiuJunrong ZouPublished in: Inf. Sci. (2019)
Keyphrases
- cost sensitive
- support vector machine
- imbalanced data classification
- feature selection
- multi class
- cost sensitive learning
- base classifiers
- cost sensitive classification
- training set
- misclassification costs
- binary classification
- training data
- class imbalance
- svm classifier
- support vector machine svm
- base learners
- support vector
- active learning
- class distribution
- machine learning
- generalization ability
- feature vectors
- k nearest neighbor
- feature space
- minority class
- ensemble learning
- kernel function
- decision boundary
- hyperplane
- neural network
- test set
- data sets
- model selection
- learning algorithm
- decision rules
- supervised learning
- learning environment