Recurring concept meta-learning for evolving data streams.
Robert AndersonYun Sing KohGillian DobbieAlbert BifetPublished in: Expert Syst. Appl. (2019)
Keyphrases
- meta learning
- evolving data streams
- concept drift
- learning tasks
- inductive learning
- data streams
- model selection
- machine learning algorithms
- decision trees
- streaming data
- random forests
- feature selection
- machine learning
- knowledge discovery
- data mining
- metamodel
- base classifiers
- stream mining
- supervised learning
- test data