A Bayesian approach to abrupt concept drift.
Andrés CanoManuel Gómez-OlmedoSerafín MoralPublished in: Knowl. Based Syst. (2019)
Keyphrases
- concept drift
- data streams
- streaming data
- drift detection
- target concept
- novelty detection
- drifting concepts
- incremental clustering
- non stationary
- change detection
- data stream mining
- data distribution
- evolving data streams
- ensemble classifier
- classification algorithm
- stream data
- batch learning
- data stream classification
- concept descriptions
- neural network
- computer vision
- database
- active learning
- high quality