GBSMOTE: A Robust Sampling Method Based on Granular-ball Computing and SMOTE for Class Imbalance.
Tian XiaYabin ShaoShuyin XiaYiping XiongXiaoyu LianWu LingPublished in: ICMAI (2023)
Keyphrases
- class imbalance
- class distribution
- active learning
- cost sensitive
- imbalanced datasets
- class imbalanced
- cost sensitive learning
- imbalanced data
- high dimensionality
- minority class
- imbalanced data sets
- majority class
- rare events
- sampling methods
- concept drift
- feature selection
- machine learning
- test set
- highly skewed
- misclassification costs
- test data
- data streams
- imbalanced class distribution
- data sets