NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection.
Honghao ZhuMengChu ZhouGuanjun LiuYu XieShijun LiuCheng GuoPublished in: IEEE Trans. Comput. Soc. Syst. (2024)
Keyphrases
- credit card fraud detection
- class imbalance
- classification scheme
- fraud detection
- classification accuracy
- imbalanced datasets
- feature space
- cost sensitive
- machine learning
- class labels
- cost sensitive learning
- high dimensionality
- classification algorithm
- image classification
- supervised learning
- active learning
- support vector
- decision trees
- support vector machine
- knn
- class distribution
- feature vectors
- feature extraction
- binary classification problems
- majority class
- information retrieval