Comparing Block Ensembles for Data Streams with Concept Drift.
Magdalena DeckertJerzy StefanowskiPublished in: ADBIS Workshops (2012)
Keyphrases
- concept drift
- data streams
- ensemble learning
- ensemble classifier
- streaming data
- data stream classification
- drift detection
- sliding window
- drifting concepts
- mining data streams
- evolving data streams
- stream data
- data distribution
- data stream mining
- incremental clustering
- change detection
- non stationary
- classification algorithm
- data sets
- batch learning
- high speed data streams
- learning algorithm
- decision trees
- incoming data
- limited memory
- text categorization
- noisy data streams