Recurring Concept Meta-learning for Evolving Data Streams.
Robert AndersonYun Sing KohGillian DobbieAlbert BifetPublished in: CoRR (2019)
Keyphrases
- meta learning
- evolving data streams
- concept drift
- inductive learning
- learning tasks
- model selection
- machine learning algorithms
- decision trees
- machine learning
- data mining
- feature selection
- stream mining
- metamodel
- data streams
- random forests
- database systems
- transfer learning
- real world
- streaming data
- data stream mining