Analysis of Variant Data Mining Methods for Depiction of Fraud-Reference-Cited by-同舟云学术

Analysis of Variant Data Mining Methods for Depiction of Fraud

Published:2020 Issue: Volume: Page:423-432
ISSN:2194-5357
Container-title:Proceedings of the Fourteenth International Conference on Management Science and Engineering Management
language:
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Author:

Ul Ain Qurat,Zia Muhammad Azam,Asghar Naeem,Saleem Asim

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49829-0_31

Reference12 articles.

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2. Anushree, B., Kumar, R.: A novel machine learning approach to detect credit card fraud using ECSVM. J. Eng. 8(11), 54–62 (2018)

3. Bathala, S.B., Nagendra, M., Kandakatla, M.: A review on banking sector. Int. J. Eng. Tech. 3(6), 681–688 (2017)

4. de Sa, A.G.C., Adriano, C.M., et al.: A customized classification algorithm for credit card fraud detection. Eng. Appl. Artif. Intell. 72, 21–29 (2018)

5. Jain, R.B.G., Dubey, S.: A hybrid approach for credit card fraud detection using rough set and decision tree technique (2016)

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