Concept Drift Detection Using Autoencoders in Data Streams Processing.
Maciej JaworskiLeszek RutkowskiPlamen AngelovPublished in: ICAISC (1) (2020)
Keyphrases
- concept drift
- data streams
- change detection
- streaming data
- drifting concepts
- stream processing
- data stream mining
- incremental clustering
- drift detection
- sliding window
- mining data streams
- data stream classification
- data distribution
- ensemble classifier
- stream data
- evolving data streams
- classification algorithm
- non stationary
- stream mining
- denoising
- batch learning
- data sets
- high speed data streams
- noisy data streams
- neural network
- outlier detection
- pattern recognition
- learning algorithm