Learning Parameter Distributions to Detect Concept Drift in Data Streams.
Johannes HaugGjergji KasneciPublished in: CoRR (2020)
Keyphrases
- concept drift
- data streams
- drifting concepts
- batch learning
- streaming data
- incremental learning
- sliding window
- learning process
- data sets
- active learning
- prior knowledge
- inductive learning
- stream data
- evolving data streams
- non stationary
- learning tasks
- computer vision
- classification algorithm
- database
- continuous queries
- previously unseen
- high speed data streams
- drift detection