Detecting Concept Drift with Neural Network Model Uncertainty.
Lucas BaierTim SchlörJakob SchoefferNiklas KühlPublished in: HICSS (2023)
Keyphrases
- neural network model
- concept drift
- data streams
- neural network
- streaming data
- drift detection
- artificial neural networks
- drifting concepts
- non stationary
- data stream mining
- change detection
- classification algorithm
- data distribution
- bp neural network
- incremental clustering
- data stream classification
- batch learning
- concept descriptions
- dynamic characteristics
- evolving data streams
- pattern recognition
- prediction accuracy
- image processing
- computer vision