Cluster Analysis and Artificial Neural Networks: A Case Study in Credit Card Fraud Detection

Author

Mineda Carneiro, Emanuel ; Vieira Dias, Luiz Alberto ; Da Cunha, Adilson Marques ; Stege Mialaret, Lineu Fernando

Author_Institution

Dept. de Cienc. da Comput., Inst. Tecnol. de Aeronaut. (ITA), Sao Jose dos Campos, Brazil

fYear

2015

fDate

13-15 April 2015

Firstpage

122

Lastpage

126

Abstract

Data normalization for use in Artificial Neural Networks often requires extensive statistical analysis. This paper presents an initial investigation of a case study involving credit card fraud detection, where Cluster Analysis was applied to data normalization. Early results obtained from the use of Artificial Neural Networks and Cluster Analysis on fraud detection has shown that neuronal inputs can be reduced by clustering attributes.

Keywords

financial data processing; fraud; neural nets; pattern clustering; statistical analysis; artificial neural networks; cluster analysis; credit card fraud detection; data normalization; fraud detection; neuronal inputs; statistical analysis; Artificial neural networks; Clustering algorithms; Computers; Credit cards; Data mining; Engines; Training; Artificial Neural Network; Cluster Analysis; Credit Card Fraud; Data Normalization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology - New Generations (ITNG), 2015 12th International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4799-8827-3

Type

conf

DOI

10.1109/ITNG.2015.25

Filename

7113459