Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.
Eleftherios Spyromitros XioufisMyra SpiliopoulouGrigorios TsoumakasIoannis P. VlahavasPublished in: IJCAI (2011)
Keyphrases
- concept drift
- multi label
- class imbalance
- data streams
- text categorization
- binary classification
- class distribution
- classification algorithm
- image classification
- graph cuts
- class labels
- change detection
- non stationary
- learning tasks
- text classification
- ensemble learning
- data distribution
- neural network
- small number
- feature selection
- unlabeled data
- prior knowledge
- pattern recognition
- training data