Title :
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
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;
Conference_Titel :
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-8827-3
DOI :
10.1109/ITNG.2015.25
