Credit Card Fraud Detection using Supervised and Unsupervised Learning

Vikas Thammanna Gowda
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Abstract

In the present monetary situation, credit card use has gotten normal. These cards allow the user to make payments online and even in person. Online payments are very convenient, but it comes with its own risk of fraud. With the expanding number of credit card users, frauds are also expanding at the same rate. Some machine learning algorithms can be applied to tackle this problem. In this paper an evaluation of supervised and unsupervised machine learning algorithms has been presented for credit card fraud detection.
使用监督和非监督学习的信用卡欺诈检测
在目前的货币形势下,信用卡的使用已经恢复正常。这些卡允许用户在线甚至亲自付款。在线支付非常方便,但也有欺诈风险。随着信用卡用户数量的增加,欺诈行为也在以同样的速度扩大。一些机器学习算法可以用来解决这个问题。本文对用于信用卡欺诈检测的有监督和无监督机器学习算法进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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