Employing chunk size adaptation to overcome concept drift.
Jedrzej KozalFilip GuzyMichal WozniakPublished in: J. Univers. Comput. Sci. (2022)
Keyphrases
- concept drift
- data streams
- non stationary
- streaming data
- classification algorithm
- drifting concepts
- drift detection
- data distribution
- change detection
- data stream classification
- incremental clustering
- target concept
- data stream mining
- evolving data streams
- novelty detection
- concept descriptions
- stream data
- batch learning
- database systems
- machine learning
- ensemble classifier
- data sets
- k nearest neighbor
- image analysis