EAN: 9783031190537

PALGRAVE MACMILLAN STUDIES IN BANKING AND FINAN...

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.

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