Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system.
Abouzar ChoubinehDavid A. WoodZahak ChoubinehPublished in: Int. J. Crit. Infrastructure Prot. (2020)
Keyphrases
- discriminant analysis
- cost sensitive learning
- class imbalance
- cost sensitive
- class distribution
- active learning
- misclassification costs
- face recognition
- linear discriminant analysis
- feature extraction
- binary classification
- principal component analysis
- high dimensionality
- feature selection
- minority class
- probability estimation
- missing values
- concept drift
- training data
- decision trees
- image processing
- kernel methods
- nearest neighbor
- multi class
- data streams
- support vector
- machine learning