Comparison of Classification Algorithms used in Credit Card Fraud Detection

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Ankit Kumar Shrivastava
Brij Kishore

Abstract

is one of the major ethical issues in the credit card industry. Various techniques are used to restrict these types of credit card frauds. Firstly, to detect the various types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection. In this paper, Authors proposed an application of different classification algorithms model in credit card fraud. It has also been explained how the machine learning can detect whether an incoming transaction is fraudulent or not.

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How to Cite
Kumar Shrivastava , A., & Kishore , B. (2019). Comparison of Classification Algorithms used in Credit Card Fraud Detection. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 5(4), 05–08. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/1873
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