Active Learning With Drifting Streaming Data.
Indre ZliobaiteAlbert BifetBernhard PfahringerGeoffrey HolmesPublished in: IEEE Trans. Neural Networks Learn. Syst. (2014)
Keyphrases
- streaming data
- active learning
- concept drift
- data streams
- evolving data streams
- data stream mining
- data streaming
- data distribution
- sliding window
- classification algorithm
- semi supervised
- machine learning
- supervised learning
- non stationary
- mining data streams
- massive data streams
- class imbalance
- stream mining
- drift detection
- change detection
- training examples
- labeled data
- training set
- anomaly detection
- continuous queries
- stream data
- learning algorithm
- cost sensitive
- training data
- learning process
- pattern recognition
- decision trees