A Feature Selection Method Based on Rough Set Attribute Reduction and Classical Filter-Based Feature Selection for Categorical Data Classification.
Oluwafemi OriolaEduan KotzéOjonoka AtawodiPublished in: ICAI (2023)
Keyphrases
- attribute reduction
- rough sets
- categorical data
- variable precision rough set model
- rough set theory
- decision rules
- knowledge reduction
- decision table
- rough set model
- pattern recognition
- rule extraction
- fuzzy rough sets
- cluster analysis
- rule induction
- discernibility matrix
- numerical data
- data reduction
- condition attributes
- decision trees
- attribute reduction algorithm
- information entropy
- rough sets theory
- data mining
- machine learning
- data analysis
- concept lattice
- classification accuracy
- dominance relation
- rule sets
- attribute set
- classification rules
- feature set
- training set
- neural network
- databases
- classification algorithm
- attribute values
- feature extraction
- image processing
- genetic algorithm