Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees.
Andriy MulyarBartosz KrawczykPublished in: DS (2018)
Keyphrases
- class imbalance
- imbalanced datasets
- decision trees
- imbalanced class distribution
- binary classification problems
- sampling methods
- imbalanced data
- cost sensitive learning
- class distribution
- highly skewed
- cost sensitive
- active learning
- minority class
- machine learning
- class noise
- rare class
- class imbalanced
- high dimensionality
- benchmark datasets
- decision tree induction
- concept drift
- ensemble methods
- feature extraction
- feature selection
- random forests
- random forest
- data mining