Feature selection for imbalanced data based on neighborhood rough sets.
Hongmei ChenTianrui LiXin FanChuan LuoPublished in: Inf. Sci. (2019)
Keyphrases
- rough sets
- imbalanced data
- feature selection
- rough set theory
- classification models
- fuzzy sets
- decision rules
- support vector machine
- pattern recognition
- high dimensionality
- data mining
- ensemble classifier
- ensemble methods
- linear regression
- feature space
- support vector
- preprocessing step
- data analysis
- text classification
- machine learning
- feature selection algorithms
- classification accuracy
- class distribution
- rule extraction
- dimensionality reduction
- fuzzy logic
- class imbalance
- multi class
- ensemble learning
- random forest
- feature subset
- feature extraction
- text categorization
- model selection
- feature set
- decision trees
- bayesian networks
- feature ranking
- neural network