Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.
David TianJohn A. KeaneXiao-Jun ZengPublished in: FUZZ-IEEE (2007)
Keyphrases
- rough sets
- feature selection
- continuous valued attributes
- rough set theory
- feature reduction
- discernibility matrix
- fuzzy sets
- text categorization
- attribute reduction
- decision rules
- dominance relation
- rough sets theory
- data preprocessing
- rule extraction
- classification accuracy
- feature set
- rule induction
- decision table
- fuzzy logic
- feature space
- rough set model
- high dimensionality
- fuzzy rough sets
- data mining
- machine learning
- feature extraction
- pattern recognition
- text classification
- knowledge reduction
- tool for data mining
- gdt rs
- feature subset
- information entropy
- feature selection algorithms
- preprocessing step
- knowledge discovery
- preprocessing
- data analysis
- real world
- approximation spaces
- continuous data
- neural network
- variable precision
- image processing