Unsupervised Unlearning of Concept Drift with Autoencoders.
André ArteltKleanthis MalialisChristos G. PanayiotouMarios M. PolycarpouBarbara HammerPublished in: SSCI (2023)
Keyphrases
- concept drift
- novelty detection
- data streams
- streaming data
- drift detection
- drifting concepts
- change detection
- non stationary
- unsupervised learning
- data distribution
- classification algorithm
- data stream classification
- data stream mining
- denoising
- evolving data streams
- incremental clustering
- batch learning
- semi supervised
- concept descriptions
- supervised learning
- data sets
- decision trees
- deep belief networks
- image processing
- incremental learning
- image analysis
- small number