Active learning for data streams: a survey.
Davide CacciarelliMurat KulahciPublished in: Mach. Learn. (2024)
Keyphrases
- data streams
- active learning
- sliding window
- streaming data
- concept drift
- random sampling
- learning strategies
- selective sampling
- semi supervised
- data distribution
- data sets
- learning algorithm
- machine learning
- stream mining
- change detection
- sensor networks
- stream data
- training examples
- mining data streams
- reservoir sampling
- sensor data
- continuous queries
- crowd sourced
- labeled data
- transfer learning
- pool based active learning
- supervised learning
- outlier detection
- relevance feedback
- distributed data streams
- continuous data streams
- anytime classification
- imbalanced data classification
- active learning strategies
- unlabeled data
- sample selection
- training set
- learning process
- batch mode
- semi supervised learning
- incoming data
- stream processing
- cost sensitive
- itemsets