Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem.
Mehwish NaushinAsit Kumar DasJanmenjoy NayakDanilo PelusiPublished in: Axioms (2023)
Keyphrases
- rough fuzzy
- class imbalance
- data generation
- rough sets
- active learning
- rough set theory
- concept drift
- streaming data
- fuzzy sets
- granular computing
- class distribution
- neural network
- rule extraction
- computational theory
- decision rules
- data streams
- rule generation
- soft computing
- independent component analysis
- high dimensionality
- pattern recognition
- learning algorithm
- data mining
- decision table
- supervised learning
- training examples
- machine learning
- real world
- fuzzy logic
- data analysis
- semi supervised learning
- approximation spaces
- genetic algorithm
- black box
- unlabeled data
- principal component analysis
- semi supervised
- training set
- feature selection