AI Methods Used for Real-Time Clean Fraud Detection in Instant Payment
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96302-6_23
Reference29 articles.
1. Xuan, S., Liu, G., Li, Z., Zheng, L., Wang, S., Jiang, C.: Random forest for credit card fraud detection. In: 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), pp. 1–6. IEEE (2018)
2. Lu, Y.: Deep Neural Networks and Fraud Detection (2017)
3. Charleonnan, A.: Credit card fraud detection using RUS and MRN algorithms. In: Management and Innovation Technology International Conference (MITicon), pp. MIT-73. IEEE (2016)
4. Wang, C., Wang, Y., Ye, Z., Yan, L., Cai, W., Pan, S.: Credit card fraud detection based on whale algorithm optimized BP neural network. In: 2018 13th International Conference on Computer Science & Education (ICCSE), pp. 1–4. IEEE (2018)
5. Tom SweersCredit Card Fraud. Radboud University, Bachelor thesis Computer Science (2018)
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