Classification by Rough Set Reducts, AdaBoost and SVM.
Naohiro IshiiYuichi MoriokaShinichi SuyamaYongguang BaoPublished in: SNPD (2010)
Keyphrases
- rough sets
- support vector
- decision rules
- rough set theory
- feature reduction
- support vector machine svm
- variable precision
- pattern recognition
- support vector machine
- classification algorithm
- rough sets theory
- rule extraction
- svm classifier
- attribute reduction
- fuzzy sets
- rule induction
- decision table
- condition attributes
- multi class
- classification accuracy
- feature vectors
- decision trees
- feature selection
- knowledge reduction
- data mining
- training data
- feature space
- fuzzy logic
- rough set model
- rule sets
- learning algorithm
- classification models
- training set
- continuous valued attributes
- concept lattice
- data analysis
- document classification
- cost sensitive
- machine learning
- knn
- attribute set
- class labels
- knowledge discovery
- information entropy
- approximation spaces
- discernibility matrix
- artificial intelligence
- real world