Incremental Weighted Ensemble for Data Streams With Concept Drift.
Botao JiaoYinan GuoCuie YangJiayang PuZhiji ZhengDunwei GongPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- concept drift
- data streams
- incremental clustering
- mining concept drifting data streams
- drifting concepts
- ensemble learning
- noisy data streams
- ensemble classifier
- concept drifting
- batch learning
- concept drifting data streams
- ensemble classification
- streaming data
- mining data streams
- drift detection
- stream data
- sliding window
- data stream classification
- change detection
- classification algorithm
- non stationary
- data stream mining
- data distribution
- data sets
- evolving data streams
- outlier detection
- classifier ensemble
- training set
- ensemble methods
- neural network
- stream mining
- database
- semi supervised
- feature selection