MOA Concept Drift Active Learning Strategies for Streaming Data.
Indre ZliobaiteAlbert BifetGeoff HolmesBernhard PfahringerPublished in: WAPA (2011)
Keyphrases
- concept drift
- active learning strategies
- streaming data
- active learning
- data streams
- data stream mining
- classification algorithm
- evolving data streams
- non stationary
- drift detection
- change detection
- data distribution
- stream data
- mining data streams
- class distribution
- class imbalance
- stream mining
- concept drifting data streams
- learning algorithm
- sliding window
- clustering algorithm
- prior knowledge
- feature vectors
- training set
- incoming data
- support vector
- data mining
- neural network