Generation of Reducts and Threshold Functions Using Discernibility and Indiscernibility Matrices for Classification.
Naohiro IshiiIppei ToriiKazunori IwataKazuya OdagiriToyoshiro NakashimaPublished in: UKCI (2017)
Keyphrases
- rough sets
- rough set theory
- decision rules
- threshold functions
- decision table
- pattern recognition
- attribute reduction
- classification accuracy
- condition attributes
- knowledge reduction
- support vector
- feature selection
- data analysis
- training set
- class labels
- support vector machine
- feature vectors
- supervised learning
- classification models
- rough sets theory
- decision trees
- machine learning
- kernel function
- svm classifier
- feature space
- linear threshold