Concept Drift Detection from Multi-Class Imbalanced Data Streams.
Lukasz KoryckiBartosz KrawczykPublished in: ICDE (2021)
Keyphrases
- concept drift
- data streams
- change detection
- class imbalance
- streaming data
- class imbalanced
- instance selection
- drifting concepts
- data stream mining
- stream data
- non stationary
- sliding window
- data stream classification
- drift detection
- data distribution
- evolving data streams
- classification algorithm
- ensemble learning
- class distribution
- ensemble classifier
- minority class
- database systems
- data sets
- remote sensing
- pairwise
- data analysis
- training data
- data mining