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Fraud Detection in Banking Data Using Machine Learning
Authors
1Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Professor&HOD, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 5 (2025)
- Published Online
- September-October 2025
- Pages
- 07-12
- Article Type
- Original Article
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References
1. Dal Pozzolo, O. Caelen, R. A. Johnson and G. Bontempi, "Calibrating Probability with Undersampling for Unbalanced Classification," in 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, 2015, pp. 159-166. doi: 10.1109/SSCI.2015.33
2. Jurgovsky et al., "Sequence Classification for Credit-Card Fraud Detection," Expert Systems with Applications, vol. 100, pp. 234–245, 2018. doi: 10.1016/j.eswa.2018.01.037
3. Liu, M. Huang, Y. Zhu and Y. Zhang, "A New Approach for Credit Card Fraud Detection Based on Transactions Categorization," 2018 IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, 2018, pp. 1925-1929. doi: 10.1109/CompComm.2018.8780981
4. L. Carcillo et al., "Combining Unsupervised and Supervised Learning in Credit Card Fraud Detection," Information Sciences, vol. 557, pp. 317–331, 2021. doi: 10.1016/j.ins.2020.12.033
5. Y. Sahin and E. Duman, "Detecting Credit Card Fraud by ANN and Logistic Regression," 2011 International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, 2011, pp. 315-319. doi: 10.1109/INISTA.2011.5946108
6. Jha and M. Kumar, "A Survey on Credit Card Fraud Detection Techniques," 2019 3rd International Conference on Computing, Communications and Networking Technologies (ICCCNT), Kanpur, 2019. doi: 10.1109/ICCCNT45670.2019.8944582
7. V. B. Thennakoon et al., "Real-Time Credit Card Fraud Detection Using Machine Learning," 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, 2019, pp. 488-493. doi: 10.1109/CONFLUENCE.2019.8776930
8. S. Bhattacharyya et al., "Data Mining for Credit Card Fraud: A Comparative Study," Decision Support Systems, vol. 50, no. 3, pp. 602-613, Feb. 2011. doi: 10.1016/j.dss.2010.08.008
9. R. Bolton and D. Hand, "Statistical Fraud Detection: A Review," Statistical Science, vol. 17, no. 3, pp. 235–255, 2002. doi: 10.1214/ss/1042727940
10. Kaggle, "Credit Card Fraud Detection Dataset." [Online]. Available: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
2. Jurgovsky et al., "Sequence Classification for Credit-Card Fraud Detection," Expert Systems with Applications, vol. 100, pp. 234–245, 2018. doi: 10.1016/j.eswa.2018.01.037
3. Liu, M. Huang, Y. Zhu and Y. Zhang, "A New Approach for Credit Card Fraud Detection Based on Transactions Categorization," 2018 IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, 2018, pp. 1925-1929. doi: 10.1109/CompComm.2018.8780981
4. L. Carcillo et al., "Combining Unsupervised and Supervised Learning in Credit Card Fraud Detection," Information Sciences, vol. 557, pp. 317–331, 2021. doi: 10.1016/j.ins.2020.12.033
5. Y. Sahin and E. Duman, "Detecting Credit Card Fraud by ANN and Logistic Regression," 2011 International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, 2011, pp. 315-319. doi: 10.1109/INISTA.2011.5946108
6. Jha and M. Kumar, "A Survey on Credit Card Fraud Detection Techniques," 2019 3rd International Conference on Computing, Communications and Networking Technologies (ICCCNT), Kanpur, 2019. doi: 10.1109/ICCCNT45670.2019.8944582
7. V. B. Thennakoon et al., "Real-Time Credit Card Fraud Detection Using Machine Learning," 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, 2019, pp. 488-493. doi: 10.1109/CONFLUENCE.2019.8776930
8. S. Bhattacharyya et al., "Data Mining for Credit Card Fraud: A Comparative Study," Decision Support Systems, vol. 50, no. 3, pp. 602-613, Feb. 2011. doi: 10.1016/j.dss.2010.08.008
9. R. Bolton and D. Hand, "Statistical Fraud Detection: A Review," Statistical Science, vol. 17, no. 3, pp. 235–255, 2002. doi: 10.1214/ss/1042727940
10. Kaggle, "Credit Card Fraud Detection Dataset." [Online]. Available: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
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