Minimum Description Length Principle applied to structure adaptation for classification under concept drift.
Pierre-Alexandre MurenaAntoine CornuéjolsPublished in: IJCNN (2016)
Keyphrases
- concept drift
- classification algorithm
- data stream classification
- minimum description length principle
- novelty detection
- decision trees
- drift detection
- classification accuracy
- feature vectors
- pattern recognition
- concept drifting data streams
- ensemble classifier
- streaming data
- feature selection
- labelled data
- incremental clustering
- incremental learning
- change detection
- class labels
- unsupervised learning
- text classification
- small number
- support vector machine
- pairwise
- benchmark datasets
- training set
- training samples
- nearest neighbor
- batch learning
- training data
- face recognition
- query processing