Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost.
Patrick LindstromSarah Jane DelanyBrian Mac NameePublished in: FLAIRS Conference (2010)
Keyphrases
- concept drift
- data streams
- mining data streams
- streaming data
- data stream mining
- drifting concepts
- data stream classification
- evolving data streams
- change detection
- sliding window
- data distribution
- non stationary
- drift detection
- stream data
- text mining
- incremental clustering
- high speed data streams
- classification algorithm
- batch learning
- outlier detection
- stream mining
- neural network
- incoming data
- concept descriptions
- feature space
- image processing
- active learning
- continuous queries
- information extraction