Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data.
Ana M. PalaciosLuciano SánchezInés CousoPublished in: Int. J. Approx. Reason. (2011)
Keyphrases
- cost sensitive learning
- imprecise data
- naive bayes
- cost sensitive
- naive bayes classifier
- misclassification costs
- probability estimation
- decision trees
- missing data
- rough sets
- missing values
- minority class
- rule extraction
- class imbalance
- active learning
- class distribution
- uncertain data
- rough set theory
- binary classifiers
- text classification
- training set
- training data
- test set
- roc curve
- multi class
- feature selection
- classification algorithm
- training examples
- binary classification
- support vector
- data mining
- model selection
- feature set
- machine learning
- test data
- machine learning algorithms
- text categorization
- natural language processing
- classification accuracy
- bayesian networks