SDDM: an interpretable statistical concept drift detection method for data streams.
Simona MicevskaAhmed AwadSherif SakrPublished in: J. Intell. Inf. Syst. (2021)
Keyphrases
- detection method
- concept drift
- data streams
- streaming data
- mining data streams
- detection algorithm
- sliding window
- face detection
- stream data
- drifting concepts
- data stream mining
- data distribution
- data stream classification
- change detection
- evolving data streams
- novelty detection
- drift detection
- classification algorithm
- target concept
- ensemble classifier
- non stationary
- high speed data streams
- data sets
- stream mining
- continuous queries
- incoming data
- neural network