Scalable real-time classification of data streams with concept drift.
Mark TennantFrederic T. StahlOmer F. RanaJoão Bártolo GomesPublished in: Future Gener. Comput. Syst. (2017)
Keyphrases
- concept drift
- data streams
- data stream classification
- classification algorithm
- streaming data
- ensemble classifier
- concept drifting data streams
- drift detection
- high speed data streams
- data stream mining
- stream data
- drifting concepts
- stream mining
- mining data streams
- sliding window
- data distribution
- batch learning
- limited memory
- incremental learning
- change detection
- non stationary
- feature space
- pattern recognition
- data sets
- support vector machine
- noisy data streams
- supervised learning
- classification accuracy
- feature extraction
- evolving data streams
- class labels
- knn
- feature vectors
- decision trees