An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation.
Shuyin XiaXinyu BaiGuoyin WangDeyu MengXinbo GaoZizhong ChenElisabeth GiemPublished in: CoRR (2022)
Keyphrases
- incremental knowledge acquisition
- rough sets
- document classification
- feature selection
- feature reduction
- text categorization
- decision rules
- text classification
- knowledge representation
- rough set theory
- variable precision
- classification accuracy
- machine learning
- pattern recognition
- rule extraction
- support vector machine
- decision trees
- feature selection algorithms
- classification models
- fuzzy sets
- feature set
- feature extraction
- model selection
- data mining
- high dimensionality
- support vector
- continuous valued attributes
- attribute reduction
- feature space
- data analysis
- rough sets theory
- feature ranking
- information entropy
- fold cross validation
- rule induction
- feature subset
- approximation spaces
- dominance relation
- artificial intelligence
- decision table
- condition attributes
- knowledge base