Cluster Analysis and Artificial Neural Networks: A Case Study in Credit Card Fraud Detection
Emanuel Mineda Carneiro, Luiz Alberto Vieira Dias, Adilson Marques da Cunha, Lineu Fernando Stege Mialaret · 2015
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.