Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation.
Anjin LiuJie LuGuangquan ZhangPublished in: CoRR (2020)
Keyphrases
- concept drift
- data stream classification
- ensemble learning
- drifting concepts
- ensemble classifier
- concept drifting data streams
- drift detection
- ensemble classification
- data streams
- streaming data
- noisy data streams
- non stationary
- data stream mining
- classification algorithm
- change detection
- target concept
- concept drifting
- incremental clustering
- ensemble methods
- stream data
- data distribution
- evolving data streams
- class imbalance
- batch learning
- input image
- data structure
- similarity measure
- image segmentation
- neural network
- knn
- active learning
- k nearest neighbor
- learning algorithm