An Xgboost based system for financial fraud detection

An Xgboost based system for financial fraud detection

Credit card fraud leads to billions of losses in online transaction. Many corporations like Alibaba, Amazon and Paypal invest billions of dollars to build a safe transaction system. There are some studies in this area having tried to use machine learning or data mining to solve these problems. This...

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Bibliographic Details
Main Authors: LEI Shimin, XU Ke, HUANG YiZhe, SHA Xinye
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/74/e3sconf_ebldm2020_02042.pdf
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spelling doaj-078b0593c6a24bc287fed3346a60e16c2021-04-02T16:02:29ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012140204210.1051/e3sconf/202021402042e3sconf_ebldm2020_02042An Xgboost based system for financial fraud detectionLEI Shimin0XU Ke1HUANG YiZhe2SHA Xinye3University of VirginiaWashington University in Saint Louis, Saint LouisFudan UniversityUniversity of CambridgeCredit card fraud leads to billions of losses in online transaction. Many corporations like Alibaba, Amazon and Paypal invest billions of dollars to build a safe transaction system. There are some studies in this area having tried to use machine learning or data mining to solve these problems. This paper proposed our fraud detection system for e- commerce merchant. Unlike many other works, this system combines manual and automatic classifications. This paper can inspire researchers and engineers to design and deploy online transaction systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/74/e3sconf_ebldm2020_02042.pdf
collection DOAJ
language English
format Article
sources DOAJ
author LEI Shimin
XU Ke
HUANG YiZhe
SHA Xinye
spellingShingle LEI Shimin
XU Ke
HUANG YiZhe
SHA Xinye
An Xgboost based system for financial fraud detection
E3S Web of Conferences
author_facet LEI Shimin
XU Ke
HUANG YiZhe
SHA Xinye
author_sort LEI Shimin
title An Xgboost based system for financial fraud detection
title_short An Xgboost based system for financial fraud detection
title_full An Xgboost based system for financial fraud detection
title_fullStr An Xgboost based system for financial fraud detection
title_full_unstemmed An Xgboost based system for financial fraud detection
title_sort xgboost based system for financial fraud detection
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description Credit card fraud leads to billions of losses in online transaction. Many corporations like Alibaba, Amazon and Paypal invest billions of dollars to build a safe transaction system. There are some studies in this area having tried to use machine learning or data mining to solve these problems. This paper proposed our fraud detection system for e- commerce merchant. Unlike many other works, this system combines manual and automatic classifications. This paper can inspire researchers and engineers to design and deploy online transaction systems.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/74/e3sconf_ebldm2020_02042.pdf
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AT xuke anxgboostbasedsystemforfinancialfrauddetection
AT huangyizhe anxgboostbasedsystemforfinancialfrauddetection
AT shaxinye anxgboostbasedsystemforfinancialfrauddetection
AT leishimin xgboostbasedsystemforfinancialfrauddetection
AT xuke xgboostbasedsystemforfinancialfrauddetection
AT huangyizhe xgboostbasedsystemforfinancialfrauddetection
AT shaxinye xgboostbasedsystemforfinancialfrauddetection
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