Identifying the Fraudulent Users for E-commerce Applications Based on the Access Behaviors

Author:

Chen RujiaORCID,Xie YiORCID

Publisher

Springer Nature Singapore

Reference15 articles.

1. Wong, K., Ng, B., Cerpa, N., Jamieson, R.: An online audit review system for electronic commerce. In: Proceedings of the 13th Bled Electronic Commerce Conference, pp. 20–23 (2000)

2. Lek, M., Anadarajah, B., Cerpa, N., Jamieson, R.: Data mining prototype for detect-ing ecommerce fraud. In: ECIS 2001 Proceedings, vol. 60 (2001)

3. Phua, C., Lee, V., Smith, K., Gayler, R.: A comprehensive survey of data mining-based fraud detection research. arXiv preprint arXiv:1009.6119 (2010)

4. Alowais, M., Soon, L.K.: Credit card fraud detection: personalized or aggregated model. In: 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing, pp. 114–119 (2012)

5. Li, A., Qin, Z., Liu, R., Yang, Y., Li, D.: Spam review detection with graph convolutional networks. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2703–2711 (2019)

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