LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection.
Shuyin XiaWenhua LiGuoyin WangXinbo GaoChangqing ZhangElisabeth GiemPublished in: CoRR (2020)
Keyphrases
- rough sets
- rough set theory
- feature selection
- decision rules
- information entropy
- attribute set
- knowledge reduction
- fuzzy sets
- data mining
- attribute reduction
- machine learning
- decision table
- rule induction
- set pair analysis
- variable precision rough set
- rough sets theory
- attribute values
- text classification
- dominance relation
- feature reduction
- data reduction
- concept lattice
- attribute reduction algorithm
- feature extraction