An information granulation based data mining approach for classifying imbalanced data.
Mu-Chen ChenLong-Sheng ChenChun-Chin HsuWei-Rong ZengPublished in: Inf. Sci. (2008)
Keyphrases
- imbalanced data
- information granulation
- initial values
- linear regression
- information granules
- ensemble methods
- class distribution
- fuzzy sets
- fuzzy modeling
- membership functions
- fuzzy model
- granular computing
- design methodology
- fuzzy systems
- support vector machine
- class imbalance
- ensemble classifier
- classification models
- random forest
- least squares
- feature selection
- decision trees
- fuzzy rules
- ensemble learning
- rough sets
- control system
- data mining
- active learning
- approximate reasoning
- svm classifier
- pattern recognition
- nearest neighbor