QActor: On-line Active Learning for Noisy Labeled Stream Data.
Taraneh YounesianZilong ZhaoAmirmasoud GhiassiRobert BirkeLydia Y. ChenPublished in: CoRR (2020)
Keyphrases
- stream data
- active learning
- data streams
- sliding window
- supervised learning
- concept drifting
- historical data
- training set
- concept drift
- stream processing
- sensor data
- mining data streams
- sequential patterns
- semi supervised
- stream data mining
- training data
- streaming data
- network traffic
- historical stream data
- unlabeled data
- training examples
- semi supervised learning
- labeled data
- machine learning
- data sets
- learning process
- learning algorithm
- noisy data
- sensor networks
- continuous queries
- change detection
- unsupervised learning
- data structure
- clustering algorithm
- databases