On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts.
Sara KebirKarim TabiaPublished in: ICAART (2) (2024)
Keyphrases
- concept drift
- non stationary
- class imbalance
- data streams
- streaming data
- drifting concepts
- drift detection
- classification algorithm
- change detection
- incremental clustering
- data stream classification
- data distribution
- batch learning
- stream data
- data stream mining
- concept descriptions
- class distribution
- multi dimensional
- data sets
- inductive learning
- neural network