Learning concept drift in nonstationary environments using an ensemble of classifiers based approach.
Matthew T. KarnickMetin AhiskaliMichael MuhlbaierRobi PolikarPublished in: IJCNN (2008)
Keyphrases
- concept drift
- non stationary
- drifting concepts
- ensemble classifier
- ensemble learning
- data stream classification
- data streams
- concept drifting
- ensemble classification
- learning algorithm
- concept descriptions
- batch learning
- classification algorithm
- streaming data
- drift detection
- learning process
- concept drifting data streams
- active learning
- supervised learning
- neural network
- ensemble methods
- change detection
- data stream mining
- semi supervised learning
- reinforcement learning
- learning tasks
- training samples
- high dimensional
- data structure
- decision trees