Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.
Lucas BaierNiklas KühlJakob SchöfferGerhard SatzgerPublished in: CoRR (2020)
Keyphrases
- concept drift
- data streams
- streaming data
- drift detection
- drifting concepts
- non stationary
- change detection
- data distribution
- incremental clustering
- classification algorithm
- data stream mining
- target concept
- evolving data streams
- batch learning
- data stream classification
- image processing
- supervised learning
- management system
- high dimensional