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
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;
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
DOI :
10.1109/ICMSS.2009.5304330
