Open AccessCredit Card Fraud Detection using Supervised and Unsupervised Learning
Author(s) -
Vikas Thammanna Gowda
Publication year - 2021
Publication title -
computer science and information technology ( cs and it )
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111107
Subject(s) - credit card , credit card fraud , computer science , payment , machine learning , supervised learning , artificial intelligence , unsupervised learning , ask price , atm card , finance , business , world wide web , artificial neural network
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.