Title:	DETECTION AND PREVENTION OF CREDIT CARD FRAUD: STATE OF ART
Author(s):	Imane Sadgali, Nawal Sael and Faouzia Benabbou
ISBN:	978-989-8533-80-7
Editors:	Ajith P. Abraham, Jörg Roth and Guo Chao Peng
Year:	2018
Edition:	Single
Keywords:	Fraud Detection, Financial Fraud, Machine-Learning, Credit Card
Type:	Full Paper
First Page:	129
Last Page:	136
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	Credit card fraud is qualifies as the most critical financial fraud. Financial institutions are forced to continually improve their fraud detection systems, but with technological development, fraudsters use technology to commit their crimes easily. In recent years, several studies have used machine learning and data mining techniques to find solutions to this problem. In this article, we propose a state of the art on various techniques of fraud, as well as detection and prevention techniques proposed in the literature such as clustering, classification and regression. The purpose of this study is to identify the techniques and methods that give the best results so far.
	Go Back