Active Learning from Data Streams.
Xingquan ZhuPeng ZhangXiaodong LinYong ShiPublished in: ICDM (2007)
Keyphrases
- active learning
- data streams
- sliding window
- streaming data
- learning strategies
- training examples
- supervised learning
- random sampling
- concept drift
- learning algorithm
- data stream mining
- sensor networks
- relevance feedback
- semi supervised
- sensor data
- data distribution
- mining data streams
- semi supervised learning
- distributed data streams
- stream data
- training set
- data sets
- unlabeled data
- cost sensitive
- selective sampling
- imbalanced data classification
- stream mining
- pool based active learning
- continuous data streams
- limited memory
- continuous queries
- transfer learning
- labeled data
- machine learning
- crowd sourced
- change detection
- active learning strategies
- data stream management systems
- experimental design
- incoming data
- evolving data streams
- learning process