Credit Card Fraud Detection Using Boundary Reconstruction and Integrated Classification

Author:

Zhou Wei1,Xue Xiaorui1,Luo Danxue1

Affiliation:

1. Yunnan University of Finance and Economics, China

Publisher

ACM

Reference34 articles.

1. Bahnsen , A. C. , Stojanovic , A. , Aouada , D. , & Ottersten , B. ( 2013 , December). Cost sensitive credit card fraud detection using Bayes minimum risk . In 2013 12th international conference on machine learning and applications (Vol. 1 , pp. 333 - 338 ). IEEE. Bahnsen, A. C., Stojanovic, A., Aouada, D., & Ottersten, B. (2013, December). Cost sensitive credit card fraud detection using Bayes minimum risk. In 2013 12th international conference on machine learning and applications (Vol. 1, pp. 333-338). IEEE.

2. Bolton , R. J. , & Hand , D. J. ( 2002 ). Statistical fraud detection: A review. Statistical science, 17(3), 235-255 . Bolton, R. J., & Hand, D. J. (2002). Statistical fraud detection: A review. Statistical science, 17(3), 235-255.

3. Carcillo , F. , Dal Pozzolo , A. , Le Borgne , Y. A. , Caelen , O. , Mazzer , Y. , & Bontempi , G. ( 2018 ). Scarff: a scalable framework for streaming credit card fraud detection with spark. Information fusion, 41, 182-194 . Carcillo, F., Dal Pozzolo, A., Le Borgne, Y. A., Caelen, O., Mazzer, Y., & Bontempi, G. (2018). Scarff: a scalable framework for streaming credit card fraud detection with spark. Information fusion, 41, 182-194.

4. Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization

5. Carcillo , F. , Le Borgne , Y. A. , Caelen , O. , Kessaci , Y. , Oblé , F. , & Bontempi , G. ( 2021 ). Combining unsupervised and supervised learning in credit card fraud detection. Information sciences, 557, 317-331 . Carcillo, F., Le Borgne, Y. A., Caelen, O., Kessaci, Y., Oblé, F., & Bontempi, G. (2021). Combining unsupervised and supervised learning in credit card fraud detection. Information sciences, 557, 317-331.

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1. Credit Card Fraud Detection Using Machine Learning Techniques;Journal of Computer and Communications;2024

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