Cost-sensitive continuous ensemble kernel learning for imbalanced data streams with concept drift.
Yingying ChenXiaowei YangHong-Liang DaiPublished in: Knowl. Based Syst. (2024)
Keyphrases
- concept drift
- cost sensitive
- data streams
- class imbalance
- class distribution
- misclassification costs
- base classifiers
- binary classification
- multi class
- change detection
- data distribution
- non stationary
- kernel function
- classification algorithm
- naive bayes
- neural network
- active learning
- feature selection
- data sets
- support vector machine
- learning tasks
- ensemble methods
- classification error
- learning algorithm
- training set
- decision trees
- image processing