Selecting target concept in one-class classification for handling class imbalance problem.
Beatriz Pérez-SánchezOscar Fontenla-RomeroNoelia Sánchez-MaroñoPublished in: IJCNN (2015)
Keyphrases
- class imbalance
- target concept
- concept drift
- data streams
- minority class
- class distribution
- training examples
- active learning
- change detection
- uniform distribution
- domain theory
- data distribution
- positive and negative
- classification algorithm
- non stationary
- pac learning
- membership queries
- learning algorithm
- cost sensitive
- relational learning
- feature selection
- positive examples
- inductive learning
- image registration
- reinforcement learning
- feature extraction
- decision trees