Learning Parameter Distributions to Detect Concept Drift in Data Streams.
Johannes HaugGjergji KasneciPublished in: ICPR (2020)
Keyphrases
- concept drift
- data streams
- drifting concepts
- streaming data
- batch learning
- concept descriptions
- evolving data streams
- learning process
- supervised learning
- drift detection
- mining data streams
- data stream classification
- data distribution
- data sets
- previously unseen
- stream data
- feature selection
- inductive learning
- classification algorithm
- non stationary
- multi dimensional
- prior knowledge