An Outlier Detection Approach on Credit Card Fraud Detection Using Machine Learning: A Comparative Analysis on Supervised and Unsupervised Learning-Reference-Cited by-同舟云学术

An Outlier Detection Approach on Credit Card Fraud Detection Using Machine Learning: A Comparative Analysis on Supervised and Unsupervised Learning

Published:2020-07-26 Issue: Volume: Page:125-135
ISSN:2194-5357
Container-title:Intelligence in Big Data Technologies—Beyond the Hype
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Author:

Caroline Cynthia P.,Thomas George S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5285-4_12

Reference6 articles.

1. U. Porwal, S. Mukund, Credit card fraud detection in e-commerce: an outlier detection approach (2018). arXiv preprint arXiv:1811.02196

2. L. Delamaire, H. A. H. Abdou, J. Pointon, Credit card fraud and detection techniques: a review. Banks Bank Syst. 4(2), 57–68 (2009)

3. Y. Kou, C.-T. Lu, S. Sirwongwattana, Y.-P. Huang, Survey of fraud detection techniques, in IEEE International Conference on Networking, Sensing and Control, 2004 vol. 2 (IEEE, 2004), pp. 749–754

4. K. Chaudhary, J. Yadav, B. Mallick, A review of fraud detection techniques: credit card. Int. J. Comput. Appl. 45(1), 39–44 (2012)

5. M. Zareapoor, P. Shamsolmoali, Application of credit card fraud detection: based on bagging ensemble classifier. Procedia Comput. Sci. 48(2015), 679–685 (2015)

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