Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification.
David TianXiao-Jun ZengJohn A. KeanePublished in: Int. J. Approx. Reason. (2011)
Keyphrases
- pattern classification
- rough sets
- feature selection
- continuous valued attributes
- feature extraction
- pattern recognition
- rough set theory
- feature reduction
- discernibility matrix
- data preprocessing
- decision rules
- fuzzy sets
- attribute reduction
- data mining
- text categorization
- gdt rs
- rough sets theory
- soft computing
- information entropy
- rule extraction
- feature set
- feature subset selection
- dominance relation
- dimensionality reduction
- decision table
- expert systems
- feature selection algorithms
- decision trees
- naive bayes
- fuzzy rough sets
- high dimensionality
- support vector
- naive bayes classifier
- feature space
- selected features
- support vector machine
- set pair analysis
- tool for data mining
- feature subset
- preprocessing step
- computer vision
- machine learning