Fuzzy support vector machine with graph for classifying imbalanced datasets.
Baihua ChenYuling FanWeiyao LanJinghua LiuChao CaoYunlong GaoPublished in: Neurocomputing (2022)
Keyphrases
- imbalanced datasets
- fuzzy support vector machine
- learning from imbalanced data
- class imbalance
- cost sensitive learning
- ensemble methods
- sampling methods
- decision trees
- imbalanced data
- class distribution
- training dataset
- active learning
- feature selection algorithms
- random sampling
- random forest
- social network analysis
- training data
- learning algorithm