Research Article

Credit card Fraud Detection based on Machine Learning Algorithms

by  Heta Naik, Prashasti Kanikar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Issue 44
Published: Mar 2019
Authors: Heta Naik, Prashasti Kanikar
10.5120/ijca2019918521
PDF

Heta Naik, Prashasti Kanikar . Credit card Fraud Detection based on Machine Learning Algorithms. International Journal of Computer Applications. 182, 44 (Mar 2019), 8-12. DOI=10.5120/ijca2019918521

                        @article{ 10.5120/ijca2019918521,
                        author  = { Heta Naik,Prashasti Kanikar },
                        title   = { Credit card Fraud Detection based on Machine Learning Algorithms },
                        journal = { International Journal of Computer Applications },
                        year    = { 2019 },
                        volume  = { 182 },
                        number  = { 44 },
                        pages   = { 8-12 },
                        doi     = { 10.5120/ijca2019918521 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2019
                        %A Heta Naik
                        %A Prashasti Kanikar
                        %T Credit card Fraud Detection based on Machine Learning Algorithms%T 
                        %J International Journal of Computer Applications
                        %V 182
                        %N 44
                        %P 8-12
                        %R 10.5120/ijca2019918521
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a days online transactions have become an important and necessary part of our lives. As frequency of transactions is increasing, number of fraudulent transactions are also increasing rapidly. In order to reduce fraudulent transactions, machine learning algorithms like Naïve Bayes, Logistic regression, J48 and AdaBoost etc. are discussed in this paper. The same set of algorithms are implemented and tested using an online dataset. Through comparative analysis it can be concluded that Logistic regression and AdaBoost algorithms perform better in fraud detection.

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

Credit card Fraud detection Machine learning supervised learning Naïve Bayes Logistic regression J48 AdaBoost

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