Scalable Feature Selection Using Rough Set Theory.
Moussa BoussoufMohamed QuafafouPublished in: Rough Sets and Current Trends in Computing (2000)
Keyphrases
- rough set theory
- feature selection
- rough sets
- attribute reduction
- decision table
- fuzzy set theory
- rule generation
- approximate reasoning
- decision rules
- knowledge reduction
- feature reduction
- feature set
- tool for data mining
- rule extraction
- classification accuracy
- text categorization
- data analysis
- equivalence relation
- granular computing
- knowledge discovery
- variable precision rough set model
- feature extraction
- data reduction
- databases
- rough fuzzy
- rule induction
- high dimensionality
- rule sets
- information entropy
- feature space
- approximation spaces
- attribute reduction algorithm
- pattern recognition
- discernibility matrix
- feature subset
- concept lattice
- feature selection algorithms
- selected features
- microarray data
- feature subset selection
- rough sets theory
- fuzzy sets
- text classification
- model selection