DocumentCode :
2449625
Title :
Research on Credit Card Fraud Detection Model Based on Distance Sum
Author :
Yu, Wen-Fang ; Wang, Na
Author_Institution :
Comput. Sci. & Inf. Eng. Coll., Zhejiang Gongshang Univ., Hangzhou, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
353
Lastpage :
356
Abstract :
Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction data, applying outlier mining into credit card fraud detection. Experiments show that this model is feasible and accurate in detecting credit card fraud.
Keywords :
bank data processing; credit transactions; data mining; fraud; risk analysis; security of data; smart cards; bank risk control; credit card fraud detection model; credit card fraud prevention; credit card transaction data; distance sum; outlier detection; outlier mining; Artificial intelligence; Computer science; Credit cards; Data analysis; Data mining; Database systems; Detection algorithms; Educational institutions; Nearest neighbor searches; Statistical distributions; credit card; distance sum; fraud detection; outlier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
Type :
conf
DOI :
10.1109/JCAI.2009.146
Filename :
5159014
Link To Document :
بازگشت