The Class-Imbalance Problem for High-Dimensional Class Prediction.
Lara LusaRok BlagusPublished in: ICMLA (2) (2012)
Keyphrases
- class imbalance
- high dimensional
- high dimensionality
- class imbalanced
- class distribution
- cost sensitive learning
- active learning
- dimensionality reduction
- cost sensitive
- low dimensional
- high dimensional data
- imbalanced datasets
- sampling methods
- data points
- feature space
- majority class
- concept drift
- small disjuncts
- noisy data
- minority class
- nearest neighbor
- software defect prediction
- multi dimensional
- imbalanced class distribution
- imbalanced data
- pairwise
- feature selection
- support vector
- training set
- kernel function
- non stationary
- multi class
- training data