An Adaptive Ensemble Framework for Addressing Concept Drift in IoT Data Streams.
Yafeng WuLan LiuYongjie YuGuiming ChenJunhan HuPublished in: CoRR (2023)
Keyphrases
- concept drift
- data streams
- noisy data streams
- ensemble classifier
- drifting concepts
- streaming data
- ensemble learning
- non stationary
- drift detection
- data distribution
- data stream mining
- classification algorithm
- evolving data streams
- concept drifting data streams
- change detection
- stream data
- data sets
- mining data streams
- neural network
- management system
- image processing
- data stream classification
- sliding window
- stream mining
- batch learning
- decision trees
- continuous queries
- database systems
- feature extraction
- index structure