Credit Card Fraud Detection Technique by Applying Graph Database Model

Author:

Prusti DebachudamaniORCID,Das Daisy,Rath Santanu Kumar

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference53 articles.

1. Zojaji, Z., Atani, RE., Monadjemi, AH.: Survey of credit card fraud detection techniques: data and technique oriented perspective.” arXiv preprint arXiv:1611.06439, (2016)

2. Abdallah, A.; Maarof, M.A.; Zainal, A.: Fraud detection system: a survey. J. Netw. Computer Appl. 68, 90–113 (2016)

3. Lebichot, B., Braun, F., Caelen, O., Saerens, M.: “A graph-based, semi-supervised, credit card fraud detection system.”In: International Workshop on Complex Networks and their Applications, pp. 721–733. Springer, Cham, (2016)

4. Bhatla, T.P.; Prabhu, V.; Dua, A.: Understanding credit card frauds. Cards Bus. Rev. 1(6), 1–15 (2003)

5. Hussein, K.W.; Sani, N.F.M.; Mahmod, R.; Abdullah, M.T.K.: Enhance Luhn algorithm for validation of credit cards numbers. Int. J. Comput. Sci. Mob. Comput 2(7), 262–272 (2013)

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