An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem.
Roberto AlejoVicente GarcíaJ. Horacio Pacheco-SánchezPublished in: Neural Process. Lett. (2015)
Keyphrases
- class imbalance
- sampling methods
- error back propagation
- majority class
- minority class
- class distribution
- imbalanced data
- imbalanced class distribution
- multi layer
- cost sensitive
- active learning
- imbalanced datasets
- cost sensitive learning
- random sampling
- high dimensionality
- feed forward
- feature selection
- learning scheme
- back propagation
- test set
- data sets
- concept drift
- decision boundary
- fuzzy logic
- learning rate
- training set
- learning algorithm
- neural network