A Study on Credit Card Fraud Detection using Data Mining Techniques

G. Suresh, R. JustinRaj
{"title":"A Study on Credit Card Fraud Detection using Data Mining Techniques","authors":"G. Suresh, R. JustinRaj","doi":"10.20894/ijdmta.102.007.001.004","DOIUrl":null,"url":null,"abstract":"The credit card system is the process which is initiates the global economy to develop significantly. Credit card providers issued millions of credit cards to their customers. They don’t know whether the card holder is wrong customer, if card is issued to wrong customer that can be a very crucial factor of the financial crisis. This survey represents an organized analysis of data mining methods and its applications in credit card process. Our survey mainly focuses on data mining methods implemented especially in credit card process which helps to emphasis much larger parts. Hence, this survey must be very helpful for any credit card providers to select an appropriate solution for their problem as well as for researchers to have comprehensive of the review of literature in their area.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20894/ijdmta.102.007.001.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

The credit card system is the process which is initiates the global economy to develop significantly. Credit card providers issued millions of credit cards to their customers. They don’t know whether the card holder is wrong customer, if card is issued to wrong customer that can be a very crucial factor of the financial crisis. This survey represents an organized analysis of data mining methods and its applications in credit card process. Our survey mainly focuses on data mining methods implemented especially in credit card process which helps to emphasis much larger parts. Hence, this survey must be very helpful for any credit card providers to select an appropriate solution for their problem as well as for researchers to have comprehensive of the review of literature in their area.
基于数据挖掘技术的信用卡欺诈检测研究
信用卡系统是推动全球经济显著发展的过程。信用卡供应商向他们的客户发行了数百万张信用卡。他们不知道持卡人是否是错误的客户,如果卡发给了错误的客户,这可能是金融危机的一个非常关键的因素。本调查对数据挖掘方法及其在信用卡处理中的应用进行了有组织的分析。我们的调查主要集中在数据挖掘方法的实施,特别是在信用卡过程中,这有助于强调更大的部分。因此,这项调查必须是非常有帮助的任何信用卡供应商选择一个适当的解决方案,为他们的问题,以及研究人员有全面的文献审查在他们的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信