An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation.
Shuyin XiaXinyu BaiGuoyin WangYunlong ChengDeyu MengXinbo GaoYujia ZhaiElisabeth GiemPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- rough sets
- feature reduction
- feature selection
- decision rules
- variable precision
- rough set theory
- knowledge representation
- classification accuracy
- machine learning
- rule induction
- rule extraction
- knowledge structures
- pattern recognition
- text classification
- decision table
- classification models
- support vector
- feature extraction
- continuous valued attributes
- feature set
- fuzzy sets
- attribute reduction
- support vector machine
- feature ranking
- data mining
- classification algorithm
- high dimensionality
- condition attributes
- rough set model
- information entropy
- decision trees
- rough sets theory
- neural network
- rule sets
- upper approximation
- attribute set
- fuzzy rough sets
- artificial intelligence
- knowledge base
- dominance relation
- feature subset selection
- knowledge acquisition
- naive bayes
- feature selection algorithms
- approximation spaces
- knowledge reduction
- data analysis
- fold cross validation
- naive bayes classifier