Research Article

Implementation of Machine Learning Algorithm to Detect Credit Card Frauds

by  Nihar Ranjan, Sneha George, Pallavi Pathade, Rakshita Anikhindi, Sneha Kamble
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Issue 1
Published: Mar 2022
Authors: Nihar Ranjan, Sneha George, Pallavi Pathade, Rakshita Anikhindi, Sneha Kamble
10.5120/ijca2022921959
PDF

Nihar Ranjan, Sneha George, Pallavi Pathade, Rakshita Anikhindi, Sneha Kamble . Implementation of Machine Learning Algorithm to Detect Credit Card Frauds. International Journal of Computer Applications. 184, 1 (Mar 2022), 17-20. DOI=10.5120/ijca2022921959 

                        @article{ 10.5120/ijca2022921959,
                        author  = { Nihar Ranjan,Sneha George,Pallavi Pathade,Rakshita Anikhindi,Sneha Kamble },
                        title   = { Implementation of Machine Learning Algorithm to Detect Credit Card Frauds },
                        journal = { International Journal of Computer Applications },
                        year    = { 2022 },
                        volume  = { 184 },
                        number  = { 1 },
                        pages   = { 17-20 },
                        doi     = { 10.5120/ijca2022921959 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2022
                        %A Nihar Ranjan
                        %A Sneha George
                        %A Pallavi Pathade
                        %A Rakshita Anikhindi
                        %A Sneha Kamble
                        %T Implementation of Machine Learning Algorithm to Detect Credit Card Frauds%T 
                        %J International Journal of Computer Applications
                        %V 184
                        %N 1
                        %P 17-20
                        %R 10.5120/ijca2022921959
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

As the world is becoming more digitalized with every sector using the internet to flourish their businesses, online transactions have become an inevitable part of life. There has been a steady rise in the number of online transactions and this will continue to increase in the future as well. One of the major modes of online transactions is credit cards and along with its extensive use comes its major drawback, that is, credit card fraud. Machine learning plays a vital role in detecting credit card frauds as it is not possible for banks to monitor every transaction. This paper explores different machine learning algorithms used to detect credit card frauds.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Machine learning Credit card Fraud detection Random forest Logistic regression Decision tree Resampling

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