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

被引：15

作者：

Carneiro, Emanuel Mineda ^{[1
]}

Vieira Dias, Luiz Alberto ^{[1
]}

da Cunha, Adilson Marques ^{[1
]}

Stege Mialaret, Lineu Fernado ^{[2
]}

机构：

[1] ITA, Dept Ciencia Comp, Sao Jose Dos Campos, Brazil

[2] Inst Fed Educ Ciencia & Tecnol Sao Paulo IFSP, Campus Jacarei, Brazil

来源：

2015 12TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY - NEW GENERATIONS | 2015年

关键词：

Data Normalization; Credit Card Fraud; Artificial Neural Network; Cluster Analysis;

D O I：

10.1109/ITNG.2015.25

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：122 / 126

页数：5

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