Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets.
Pietro DucangeBeatrice LazzeriniFrancesco MarcelloniPublished in: Soft Comput. (2010)
Keyphrases
- cost sensitive
- multi objective
- class imbalance
- class distribution
- imbalanced data
- naive bayes
- minority class
- cost sensitive learning
- sampling methods
- misclassification costs
- multiclass classification
- class probabilities
- boosting algorithms
- imbalanced data sets
- multi class
- cost sensitive classification
- binary classification
- probability estimates
- evolutionary algorithm
- active learning
- decision trees
- training data
- feature selection
- support vector machine
- support vector
- genetic algorithm
- objective function
- fraud detection
- classification algorithm
- base classifiers
- test set
- text classification
- classification trees
- cost sensitive boosting
- neural network
- probability estimation
- decision boundary
- svm classifier
- machine learning methods
- test data
- training examples
- text categorization
- training set
- data mining
- data sets