Handling imbalanced datasets through Optimum-Path Forest.
Leandro Aparecido PassosDanilo S. JodasLuiz Carlos Felix RibeiroMarco AkioAndré Nunes de SouzaJoão Paulo PapaPublished in: Knowl. Based Syst. (2022)
Keyphrases
- imbalanced datasets
- optimum path forest
- cost sensitive learning
- class distribution
- sampling methods
- decision boundary
- class imbalance
- decision trees
- minority class
- ensemble methods
- training dataset
- imbalanced data
- strongly connected
- cost sensitive
- active learning
- training data
- feature selection algorithms
- nearest neighbor