Cost-sensitive sparse group online learning for imbalanced data streams.
Zhong ChenVictor S. ShengAndrea EdwardsKun ZhangPublished in: Mach. Learn. (2024)
Keyphrases
- cost sensitive
- online learning
- data streams
- class imbalance
- class distribution
- active learning
- cost sensitive learning
- misclassification costs
- multi class
- binary classification
- cost sensitive classification
- sliding window
- concept drift
- naive bayes
- fraud detection
- e learning
- data sets
- confidence weighted
- imbalanced data
- random sampling
- high dimensional
- machine learning
- data mining
- outlier detection
- supervised learning
- support vector machine
- boosting algorithms
- pairwise
- training set