Tiny Machine Learning for Concept Drift.
Simone DisabatoManuel RoveriPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- concept drift
- machine learning
- data streams
- streaming data
- drifting concepts
- non stationary
- drift detection
- change detection
- incremental clustering
- data distribution
- data stream classification
- pattern recognition
- machine learning methods
- data stream mining
- classification algorithm
- evolving data streams
- learning algorithm
- machine learning algorithms
- natural language processing
- batch learning
- data analysis
- decision trees
- concept descriptions
- database
- learning tasks
- information extraction
- active learning
- inductive learning
- computer vision
- text mining
- knowledge discovery
- feature extraction
- inductive logic programming
- transfer learning
- support vector machine
- knowledge representation