Active Learning with Evolving Streaming Data.
Indre ZliobaiteAlbert BifetBernhard PfahringerGeoff HolmesPublished in: ECML/PKDD (3) (2011)
Keyphrases
- streaming data
- active learning
- data streams
- concept drift
- sliding window
- data distribution
- evolving data streams
- data streaming
- semi supervised
- data stream mining
- learning algorithm
- training set
- anomaly detection
- massive data streams
- continuous queries
- stream data
- stream mining
- semi supervised learning
- labeled data
- training examples
- class imbalance
- mining data streams
- feature vectors
- data sets
- concept drifting
- streaming time series
- neural network
- machine learning
- stream processing
- learning process
- supervised learning