Using Evolving Ensembles to Deal with Concept Drift in Streaming Scenarios.
Diogo RamosDavide CarneiroPaulo NovaisPublished in: IDC (2021)
Keyphrases
- concept drift
- streaming data
- data streams
- ensemble learning
- ensemble classifier
- drift detection
- change detection
- non stationary
- stream mining
- data stream mining
- drifting concepts
- incremental clustering
- evolving data streams
- data distribution
- classification algorithm
- sliding window
- data stream classification
- ensemble methods
- batch learning
- stream data
- semi supervised learning
- benchmark datasets
- concept descriptions
- stream processing
- missing values
- continuous queries
- high resolution
- data sets
- small number