Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.
Lucas BaierVincent KellnerNiklas KühlGerhard SatzgerPublished in: CoRR (2020)
Keyphrases
- real world data sets
- concept drift
- incremental clustering
- batch learning
- data streams
- empirical studies
- data sets
- drifting concepts
- non stationary
- streaming data
- drift detection
- synthetic data set
- data stream classification
- classification algorithm
- change detection
- evolving data streams
- data stream mining
- stream data
- concept descriptions
- ensemble classifier
- data distribution
- database
- incremental learning
- neural network
- single pass
- pattern recognition