Dynamic Ensemble Selection for Imbalanced Data Streams With Concept Drift.
Botao JiaoYinan GuoDunwei GongQiuju ChenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- concept drift
- data streams
- streaming data
- ensemble selection
- data stream classification
- drift detection
- drifting concepts
- sliding window
- evolving data streams
- data distribution
- target concept
- non stationary
- data stream mining
- stream mining
- ensemble learning
- stream data
- change detection
- classification algorithm
- stream clustering
- variable selection
- parameter settings
- selection strategy
- clustering algorithm
- remote sensing
- prediction accuracy
- classification accuracy
- active learning
- face recognition