Passive concept drift handling via variations of learning vector quantization.
Moritz HeusingerChristoph RaabFrank-Michael SchleifPublished in: Neural Comput. Appl. (2022)
Keyphrases
- concept drift
- learning vector quantization
- data streams
- streaming data
- non stationary
- self organizing maps
- neural network
- drift detection
- drifting concepts
- data stream mining
- classification algorithm
- incremental clustering
- evolving data streams
- data stream classification
- change detection
- batch learning
- data distribution
- concept descriptions
- nearest neighbor
- pairwise
- sliding window
- high resolution
- training set
- database