Fast Adaptive Real-Time Classification for Data Streams with Concept Drift.
Mark TennantFrederic T. StahlJoão Bártolo GomesPublished in: IDCS (2015)
Keyphrases
- concept drift
- data streams
- data stream classification
- classification algorithm
- streaming data
- concept drifting data streams
- ensemble classifier
- drifting concepts
- mining data streams
- evolving data streams
- high speed data streams
- non stationary
- drift detection
- stream data
- data stream mining
- data distribution
- classification accuracy
- change detection
- labelled data
- data sets
- batch learning
- feature extraction
- machine learning methods
- outlier detection
- sliding window
- supervised learning
- computer vision
- noisy data streams
- incoming data
- classifier ensemble
- continuous queries
- k nearest neighbor
- nearest neighbor
- image analysis
- pattern recognition
- support vector
- decision trees
- machine learning