Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.
Lucas BaierVincent KellnerNiklas KühlGerhard SatzgerPublished in: HICSS (2021)
Keyphrases
- real world data sets
- concept drift
- incremental clustering
- batch learning
- data streams
- empirical studies
- data sets
- streaming data
- drifting concepts
- drift detection
- non stationary
- evolving data streams
- synthetic data set
- classification algorithm
- data stream classification
- data distribution
- change detection
- database
- concept descriptions
- ensemble classifier
- stream data
- benchmark datasets
- machine learning
- database systems
- small number
- image processing
- incremental learning