使用机器学习技术进行信用卡欺诈检测的综合综述

A. Rawat, S. Tiwari
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引用次数: 0

摘要

随着电子商务行业的飞速发展,使用信用卡进行网上购物的人数呈指数级增长,与之相关的诈骗案件也随之激增。近年来,对于银行来说,信用卡系统和网上银行的欺诈行为很难被发现,给个人、商家和银行造成了巨大的经济损失。基本上,欺诈是一种获取商品和资源的非法方式。这种非法交易的目标可能是在没有支付或获得违宪访问账户的情况下获得收益。这就是为什么需要一种有效的技术来检测信用卡欺诈。机器学习算法在信用卡交易欺诈检测中发挥着重要作用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive review on credit card fraud detection using machine learning techniques
The rapid advancement in E-Commerce industry has led to an exponential increase in the use of credit cards for online purchasing and consequently they have been surging in the fraud related to it .In recent years, For banks has become very difficult for detecting the fraud in credit card system and online banking and a large financial loss has greatly affected persons and also merchants and banks. Basically, Fraud is an unlawful way to obtain commodities and resources. The goal of such illegal transaction might be to get yield without paying or gaining an unconstitutional access to an account. That’s why there is a need for an efficient technique that can be used for detecting the credit card fraud. Machine learning algorithms play an important role for detecting the credit card fraud in transactions
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