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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
David Blanco-Alcántara is a Senior Lecturer in Corporate Finance at the University of
Burgos, Spain.
Fernando García-Moreno Rodríguez is a Senior Lecturer in Administrative Law in the
Faculty of Law, University of Burgos, Spain.
Óscar López-de-Foronda Pérez is a Senior Lecturer in Corporate Finance and
Accounting at the University of Burgos, Spain.
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.
David Blanco-Alcántara is a Senior Lecturer in Corporate Finance at the University of
Burgos, Spain.
Fernando García-Moreno Rodríguez is a Senior Lecturer in Administrative Law in the
Faculty of Law, University of Burgos, Spain.
Óscar López-de-Foronda Pérez is a Senior Lecturer in Corporate Finance and
Accounting at the University of Burgos, Spain.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: California Books, Miami, FL, USA
Zustand: New. Artikel-Nr. I-9783031190537
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 46847670-n
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: As New. Unread book in perfect condition. Artikel-Nr. 46847670
Anzahl: Mehr als 20 verfügbar
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. 2023. Paperback. . . . . . Artikel-Nr. V9783031190537
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 212 pages. 8.27x5.83x0.48 inches. In Stock. Artikel-Nr. x-303119053X
Anzahl: 2 verfügbar
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2023. Paperback. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9783031190537
Anzahl: Mehr als 20 verfügbar
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Artikel-Nr. 1228909052
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides systematic comparative research of antifraud laws and context at EU countries using aArtificial Neural Network (ANN) model to predict illegal activities in ERDF and CF. It also details a map of corruption risk with the goal ofreducing 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 authorsanalyse 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. Artikel-Nr. 9783031190537
Anzahl: 1 verfügbar