AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.
Lin SunMengmeng LiWeiping DingEn ZhangXiaoxia MuJiucheng XuPublished in: Inf. Sci. (2022)
Keyphrases
- imbalanced data
- adaptive fuzzy
- feature selection
- control algorithm
- neural network
- nonlinear systems
- feedback control
- fuzzy control
- classification models
- class distribution
- ensemble methods
- linear regression
- support vector machine
- sampling methods
- class imbalance
- ensemble classifier
- random forest
- text classification
- fuzzy controller
- median filter
- feature space
- ensemble learning
- feature set
- multi class
- decision trees
- inverted pendulum
- adaptive control
- classification accuracy
- machine learning
- dimensionality reduction
- feature subset
- pattern recognition
- feature extraction
- impulse noise
- feature selection algorithms
- control method
- color images
- control strategy
- data mining