Redefining core preliminary concepts of classic Rough Set Theory for feature selection.
Muhammad Summair RazaUsman QamarPublished in: Eng. Appl. Artif. Intell. (2017)
Keyphrases
- rough set theory
- rough sets
- feature selection
- discernibility matrix
- granular computing
- attribute reduction
- concept lattice
- decision table
- formal concept analysis
- lower and upper approximations
- decision rules
- approximate reasoning
- fuzzy set theory
- attribute reduction algorithm
- tool for data mining
- approximation spaces
- information entropy
- rule extraction
- data analysis
- text categorization
- feature ranking
- knowledge reduction
- rough fuzzy
- rule generation
- rough sets theory
- rule induction
- machine learning
- feature set
- set theory
- data reduction
- rough set model
- feature reduction
- feature selection algorithms
- equivalence relation
- knowledge discovery
- fuzzy sets
- dominance relation
- support vector machine
- condition attributes
- rule sets
- neural network
- text classification
- support vector
- feature extraction
- association rule mining
- high dimensionality
- information retrieval
- variable precision rough set model
- soft set
- real world