One-class classifiers with incremental learning and forgetting for data streams with concept drift.
Bartosz KrawczykMichal WozniakPublished in: Soft Comput. (2015)
Keyphrases
- incremental learning
- concept drift
- data streams
- class imbalance
- data stream classification
- streaming data
- drifting concepts
- sliding window
- data stream mining
- network intrusion detection
- evolving data streams
- stream data
- mining data streams
- class distribution
- incremental learning algorithm
- batch learning
- fuzzy artmap
- change detection
- data distribution
- continuous queries
- high speed data streams
- supervised learning
- learning process
- stream mining
- drift detection
- data sets
- semi supervised
- classification algorithm
- non stationary
- feature extraction
- similarity measure
- learning environment
- image processing
- support vector
- multi class