Unsupervised Unlearning of Concept Drift with Autoencoders.
André ArteltKleanthis MalialisChristos G. PanayiotouMarios M. PolycarpouBarbara HammerPublished in: CoRR (2022)
Keyphrases
- concept drift
- novelty detection
- data streams
- streaming data
- drifting concepts
- denoising
- drift detection
- non stationary
- unsupervised learning
- change detection
- data distribution
- evolving data streams
- data stream classification
- supervised learning
- classification algorithm
- incremental clustering
- deep belief networks
- data stream mining
- batch learning
- semi supervised
- restricted boltzmann machine
- sliding window
- machine learning