Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data.
Krystyna NapieralaJerzy StefanowskiPublished in: HAIS (2) (2012)
Keyphrases
- imbalanced data
- rule sets
- decision trees
- classification models
- classification rules
- ensemble methods
- decision rules
- support vector machine
- feature selection
- class imbalance
- class distribution
- linear regression
- random forest
- machine learning
- error rate
- ensemble classifier
- ensemble learning
- fuzzy rules
- training set
- svm classifier
- machine learning methods
- minority class
- high dimensionality
- sampling methods
- cost sensitive
- feature set
- association rules
- decision boundary
- support vector
- genetic algorithm
- training data
- pattern recognition
- feature space
- generalization ability
- text classification
- genetic programming
- training samples
- machine learning algorithms