A survey on machine learning for recurring concept drifting data streams.
Andrés L. Suárez-CetruloDavid QuintanaAlejandro CervantesPublished in: Expert Syst. Appl. (2023)
Keyphrases
- machine learning
- concept drifting data streams
- concept drift
- drift detection
- decision trees
- classifier ensemble
- machine learning methods
- machine learning algorithms
- inductive learning algorithms
- active learning
- information extraction
- natural language processing
- streaming data
- learning tasks
- learning algorithm
- inductive learning
- text classification
- data streams
- semi supervised learning
- named entity recognition
- supervised learning
- knowledge representation
- ensemble classification
- domain knowledge
- feature selection