Drift-detection Based Incremental Ensemble for Reacting to Different Kinds of Concept Drift.
Zeng LiYan XiongWenchao HuangPublished in: BigCom (2019)
Keyphrases
- drift detection
- concept drift
- concept drifting data streams
- incremental clustering
- drifting concepts
- batch learning
- ensemble classifier
- data streams
- streaming data
- classification algorithm
- data distribution
- non stationary
- incremental learning
- stream data
- data stream mining
- change detection
- concept drifting
- sliding window
- semi supervised
- ensemble methods
- learning algorithm