Identification the characteristics of Indonesian credit card frauds by trough correspondence analysis (An application of simplification quantitative analysis)

Author

Ginanjar, Irlandia ; Pasaribu, U.S. ; Indratno, S.W.

Author_Institution

Dept. of Stat., Univ. Padjadjaran, Bandung, Indonesia

fYear

2014

fDate

19-21 Aug. 2014

Firstpage

246

Lastpage

251

Abstract

Classical correspondent analysis (CA) is one of the probabilistic methods which is often used in analyzing two qualitative variables. We apply a different method called Simplification of Classical Correspondence Analysis (SoCA) in calculating the row and column principal coordinates. The proposed method is simple, and it gives more accurate results than the results obtained by the CA. We apply the proposed method to identify the characteristics of the Indonesian online shopping frauds.

Keywords

Internet; credit transactions; fraud; probability; retail data processing; security of data; Indonesian credit card frauds; Indonesian online shopping frauds; SoCA; probabilistic methods; simplification of classical correspondence analysis; trough correspondence analysis; Australia; Credit cards; Eigenvalues and eigenfunctions; Europe; Logistics; Mathematical model; Vectors; classical correspondent analysis; logistic regression; online shopping frauds; simplification of classical correspondence analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Technology, Informatics, Management, Engineering, and Environment (TIME-E), 2014 2nd International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4799-4806-2

Type

conf

DOI

10.1109/TIME-E.2014.7011626

Filename

7011626