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A Survey Paper on Fraud Analysis and Report Visualization in Card System

by Shipra Rathore, Deepak Kumar Niware
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 3
Year of Publication: 2015
Authors: Shipra Rathore, Deepak Kumar Niware
10.5120/ijca2015906923

Shipra Rathore, Deepak Kumar Niware . A Survey Paper on Fraud Analysis and Report Visualization in Card System. International Journal of Computer Applications. 131, 3 ( December 2015), 1-4. DOI=10.5120/ijca2015906923

@article{ 10.5120/ijca2015906923,
author = { Shipra Rathore, Deepak Kumar Niware },
title = { A Survey Paper on Fraud Analysis and Report Visualization in Card System },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 3 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number3/23426-2015906923/ },
doi = { 10.5120/ijca2015906923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:15.920101+05:30
%A Shipra Rathore
%A Deepak Kumar Niware
%T A Survey Paper on Fraud Analysis and Report Visualization in Card System
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 3
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to rapid growth of internet, online shopping for products is an essential part of everyone’s daily life most of the time credit card is used to pay online for products. It is an easy way to shopping, people can get your desired product on your computer screen or on smart phone. For online purchase use of credit card increases dramatically but still there is some loop holes in system of online shopping which causes online frauds or credit card frauds. There are many techniques like ANIDS Distributed Data mining WSDL, Parallel granular neural networks, Hidden Markov Model, Clustering and Bayes classification, Cost model are used. These techniques use data mining to detect frauds by the use of datasets like KDD99, KDD cup, NSL KDD. In this paper a study on different techniques and evaluate each technique on the best parameters.

References
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Index Terms

Computer Science
Information Sciences

Keywords

E-commerce Fraudulent transactions IDS.

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