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oai:riubu.ubu.es:10259/86452024-05-10T11:38:47Zcom_10259_7380com_10259_5086com_10259_2604col_10259_8643

Blanco Alcántara, David García-Moreno Rodríguez, Fernando López de Foronda Pérez, Óscar 2022-11-30 This book provides systematic comparative research of antifraud laws and context at EU countries using a Artificial Neural Network (ANN) model to predict illegal activities in ERDF and CF. It also details a map of corruption risk with the goal of reducing corruption and fraud in the management of European Regional Development Funds and Cohesion Funds through the incorporation of adequate measures and strategies derived from the resulting of EUMODFRAUD EU Project. The authors analyse the specific situations, observe the risks and finally, propose an innovative method that allows predicting fraudulent acts, which will be of interest to both academics, researchers, and policy makers in financial services, public finance, and financial crime. application/pdf http://hdl.handle.net/10259/8645 eng Palgrave Macmillan Fraud and Corruption in EU Funding. The Problematic Use of European Funds and Solutions info:eu-repo/semantics/book TEXT RIUBU. Repositorio Institucional de la Universidad de Burgos Hispana