An ensemble based incremental learning framework for concept drift and class imbalance.
Gregory DitzlerRobi PolikarPublished in: IJCNN (2010)
Keyphrases
- concept drift
- incremental learning
- class imbalance
- batch learning
- ensemble classifier
- ensemble learning
- data streams
- data stream classification
- streaming data
- non stationary
- class distribution
- active learning
- training data
- data distribution
- ensemble methods
- change detection
- data sets
- classification algorithm
- small number
- learning process
- support vector
- database systems
- feature selection