An Empirical Study for the Multi-class Imbalance Problem with Neural Networks.
Roberto AlejoJosé Martínez SotocaGustavo A. CasañPublished in: CIARP (2008)
Keyphrases
- class imbalance
- neural network
- class distribution
- cost sensitive
- active learning
- cost sensitive learning
- pattern recognition
- random subspaces
- imbalanced datasets
- sampling methods
- concept drift
- software defect prediction
- high dimensionality
- majority class
- small disjuncts
- knn
- imbalanced data
- test set
- training set
- data streams
- training data
- minority class
- imbalanced class distribution
- feature selection