DocumentCode :
2328522
Title :
Study on the Application of Data Mining Algorithms in Credit Card Management
Author :
Li, Aihua ; Li, Wenbin ; Shi, Yong
Author_Institution :
Sch. of Manage. Sci. & Eng., Central Univ. of Finance & Econ., Beijing
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
5
Abstract :
Credit card business has developed quickly in the world in the past years. In order to prevent defaulting risk, some useful tools are used in credit card management. Application Scoring and Behavior Scoring are two important steps in this process, which data mining algorithms are used widely. In this paper, the application of data mining in credit card management are analyzed and the experiments show the difference of data mining in the application scoring and behavior scoring.
Keywords :
data mining; financial data processing; application scoring; behavior scoring; credit card business; credit card management; data mining algorithm; Credit cards; Data mining; Engineering management; Finance; Financial management; Linear discriminant analysis; Neural networks; Risk management; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
Type :
conf
DOI :
10.1109/EBISS.2009.5138096
Filename :
5138096
Link To Document :
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