DocumentCode
2161659
Title
Application of Data Mining in Preventing Credit Card Fraud
Author
Ma, Haiying ; Li, Xin
Author_Institution
Dept. of Manage. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
6
Abstract
By investigating historical data from customers of credit card in a commercial bank, this paper points out the possibility of use genetic algorithms in preventing credit card fraud and give support to bank in dealing with this kind of problem. We demonstrate through real case analysis that using the identification model of genetic algorithm generates ideal accuracy identification result. The results are very satisfactory; use method of genetic algorithm in preventing credit card fraud proved applicability and effectiveness.
Keywords
banking; credit transactions; data mining; genetic algorithms; accuracy identification; commercial bank; credit card fraud; data mining; genetic algorithms; Algorithm design and analysis; Business; Credit cards; Data engineering; Data mining; Design optimization; Engineering management; Genetic algorithms; Genetic engineering; Optimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5304330
Filename
5304330
Link To Document