Boosting classifiers for drifting concepts.
Martin ScholzRalf KlinkenbergPublished in: Intell. Data Anal. (2007)
Keyphrases
- drifting concepts
- ensemble methods
- classifier ensemble
- ensemble learning
- concept drift
- ensemble classifier
- decision trees
- base classifiers
- prediction accuracy
- machine learning methods
- benchmark datasets
- data streams
- feature selection
- random forest
- generalization ability
- weak classifiers
- feature subset
- classification algorithm
- drift detection
- non stationary
- machine learning algorithms
- classification accuracy
- training set
- streaming data
- support vector
- training data