PBC4cip: A new contrast pattern-based classifier for class imbalance problems.
Octavio Loyola-GonzálezMiguel Angel Medina-PérezJosé Fco. Martínez-TrinidadJesús Ariel Carrasco-OchoaRaúl MonroyMilton García-BorrotoPublished in: Knowl. Based Syst. (2017)
Keyphrases
- class imbalance
- binary classification problems
- high dimensionality
- multi class problems
- class distribution
- feature selection
- cost sensitive learning
- training data
- majority class
- cost sensitive
- highly skewed
- sampling methods
- active learning
- training set
- data sets
- support vector machine
- pattern recognition
- machine learning