Imbalanced Data Classification: A Novel Re-sampling Approach Combining Versatile Improved SMOTE and Rough Sets.
Katarzyna BorowskaJaroslaw StepaniukPublished in: CISIM (2016)
Keyphrases
- rough sets
- imbalanced data classification
- minority class
- rough set theory
- fuzzy sets
- granular computing
- decision rules
- nearest neighbour
- class imbalance
- rough sets theory
- classification error
- class distribution
- pattern recognition
- data analysis
- fuzzy logic
- sampling methods
- dominance relation
- random sampling
- neural network
- feature selection
- cost sensitive learning
- rule extraction
- data mining
- continuous valued attributes
- support vector machine
- approximation spaces
- support vector
- decision boundary
- active learning