An ensemble classifier method for classifying data streams with recurrent concept drift.
Guiying WeiTao ZhangSen WuLei ZouPublished in: iCAST (2012)
Keyphrases
- concept drift
- data streams
- ensemble classifier
- streaming data
- drift detection
- change detection
- drifting concepts
- prior knowledge
- support vector machine
- input data
- non stationary
- test data
- mining concept drifting data streams
- machine learning
- ensemble learning
- data distribution
- machine learning algorithms
- training samples
- multi dimensional
- multi class
- classification accuracy
- pairwise
- similarity measure