Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers
The goal of the present research is to contribute to the detection of tax fraud concerning personal income tax returns (IRPF, in Spanish) filed in Spain, through the use of Machine Learning advanced predictive tools, by applying Multilayer Perceptron neural network (MLP) models. The possibilities sp...
Main Authors: | César Pérez López, María Jesús Delgado Rodríguez, Sonia de Lucas Santos |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
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Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/11/4/86 |
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