Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning.
Gabriel Jonas AguiarAlberto CanoPublished in: BigData (2023)
Keyphrases
- concept drift
- drift detection
- meta learning
- data streams
- streaming data
- inductive learning
- learning tasks
- data distribution
- machine learning algorithms
- change detection
- model selection
- non stationary
- sliding window
- machine learning
- feature selection
- classification algorithm
- decision trees
- data mining
- data sets
- metamodel
- stream mining
- continuous queries