TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.
Lin SunShanshan SiWeiping DingXinya WangJiucheng XuPublished in: Inf. Fusion (2023)
Keyphrases
- rough sets
- imbalanced data
- fuzzy sets
- feature selection
- rough set theory
- rule extraction
- set pair analysis
- fuzzy logic
- decision rules
- classification models
- support vector machine
- concept lattice
- text classification
- data mining
- linear regression
- class imbalance
- attribute reduction
- ensemble methods
- fuzzy rules
- sampling methods
- high dimensionality
- decision trees
- class distribution
- data analysis
- pattern recognition
- text categorization
- ensemble classifier
- random forest
- multi class
- ensemble learning
- feature selection algorithms
- support vector
- svm classifier
- classification accuracy
- machine learning