Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison.
Michela AntonelliPietro DucangeFrancesco MarcelloniArmando SegatoriPublished in: IFSA/NAFIPS (2013)
Keyphrases
- imbalanced datasets
- evolutionary fuzzy
- imbalanced data
- decision trees
- feature selection algorithms
- minority class
- class distribution
- training data
- class imbalance
- sampling methods
- ensemble methods
- feature selection
- cost sensitive learning
- training set
- evolutionary computing
- training dataset
- test set
- support vector
- ensemble classifier
- svm classifier
- classification algorithm
- fuzzy logic
- ensemble learning
- naive bayes
- support vector machine
- classification models
- fuzzy controller
- cost sensitive
- machine learning algorithms
- decision boundary
- data mining
- genetic algorithm ga
- training examples
- support vector machine svm
- training samples
- data streams
- learning algorithm