Effective Machine Learning Approaches for Credit Card Fraud Detection-Reference-Cited by-同舟云学术

Effective Machine Learning Approaches for Credit Card Fraud Detection

Published:2021 Issue: Volume: Page:154-163
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Alam Md. Noor,Podder Prajoy,Bharati Subrato,Mondal M. Rubaiyat Hossain

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-73603-3_14

Reference21 articles.

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2. Bharati, S., Podder, P., Mondal, M.R.H.: Artificial neural network based breast cancer screening: a comprehensive review. Int. J. Comput. Inf. Syst. Ind. Manage. Appl. 12, 125–137 (2020)

3. Bolton, R.J., Hand, D.J.: Unsupervised profiling methods for fraud detection. In: Conference on Credit Scoring and Credit Control, Edinburgh (2001)

4. https://www.wsj.com/articles/no-headline-available-1387459173?tesla=y. Accessed 27 Nov 2020

5. McCurry, J.: 100 thieves steal $13m in three hours from cash machines across Japan. The Guardian (2016). Retrieved 23 May 2016

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