Building Decision Trees for the Multi-class Imbalance Problem.
T. Ryan HoensQi QianNitesh V. ChawlaZhi-Hua ZhouPublished in: PAKDD (1) (2012)
Keyphrases
- class imbalance
- decision trees
- cost sensitive learning
- class distribution
- active learning
- majority class
- cost sensitive
- attribute selection
- imbalanced datasets
- imbalanced data
- naive bayes
- decision tree induction
- high dimensionality
- small disjuncts
- minority class
- training data
- concept drift
- sampling methods
- decision rules
- feature selection
- random forest
- machine learning
- classification models
- pattern recognition
- random forests
- ensemble methods
- test set
- machine learning algorithms
- high dimensional
- imbalanced class distribution