Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams.
Hang ZhangWeike LiuQingbao LiuPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- active learning
- data streams
- concept drift
- class imbalance
- online learning
- drifting concepts
- imbalanced data
- training set
- batch mode
- mining concept drifting data streams
- pool based active learning
- ensemble learning
- neural network
- imbalanced class distribution
- sliding window
- reinforcement learning
- semi supervised
- change detection
- imbalanced data classification
- noisy data streams
- streaming data
- learning strategies
- stream data
- imbalanced datasets
- data sets
- ensemble methods
- experimental design
- unlabeled data
- random forests
- concept drifting data streams
- machine learning
- training examples
- minority class
- stream mining
- rare class
- non stationary
- learning algorithm