Rough set based approaches to feature selection for Case-Based Reasoning classifiers.
Maria SalamóMaite López-SánchezPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- feature selection
- case based reasoning
- support vector
- feature selection algorithms
- feature set
- naive bayes
- small sample
- machine learning approaches
- machine learning algorithms
- fold cross validation
- machine learning
- text categorization
- mutual information
- decision trees
- supervised learning
- machine learning methods
- rough set theory
- feature subset
- random forest
- feature space
- meta learning
- training data
- text classifiers
- data sets
- bayes classifier