Decision tree induction based on minority entropy for the class imbalance problem.
Kesinee BoonchuayKrung SinapiromsaranChidchanok LursinsapPublished in: Pattern Anal. Appl. (2017)
Keyphrases
- learning algorithm
- decision tree induction
- class imbalance
- majority class
- attribute selection
- class distribution
- active learning
- minority class
- class imbalanced
- training data
- decision trees
- imbalanced class distribution
- training samples
- machine learning algorithms
- data mining methods
- cost sensitive
- induction algorithms
- cost sensitive learning
- cross validation
- training set
- concept drift
- data mining
- test set
- sampling methods
- high dimensionality
- learning tasks
- feature selection
- support vector
- test data
- feature space
- classification error
- dimensionality reduction