Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels.
Noppayut SriwatanasakdiMasayuki NumaoKen-ichi FukuiPublished in: ICTAI (2017)
Keyphrases
- concept drift
- data stream classification
- ensemble classifier
- classification algorithm
- graph classification
- change detection
- ensemble learning
- drifting concepts
- data streams
- streaming data
- non stationary
- structured data
- class labels
- drift detection
- labelled data
- training data
- data stream mining
- class imbalance
- data distribution
- training set
- stream data
- training examples
- class distribution
- naive bayes
- multi label
- pairwise
- database
- machine learning
- knn
- feature selection
- decision trees
- remote sensing
- small number
- image registration