Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation.
Anjin LiuJie LuGuangquan ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- concept drift
- ensemble learning
- drifting concepts
- ensemble classifier
- drift detection
- concept drifting data streams
- data streams
- ensemble classification
- streaming data
- noisy data streams
- non stationary
- evolving data streams
- change detection
- data distribution
- concept drifting
- incremental clustering
- classification algorithm
- data stream classification
- data stream mining
- similarity measure
- stream data
- sliding window
- classifier ensemble
- target concept
- ensemble methods
- active learning
- database
- learning algorithm
- random forests
- image processing
- neural network