Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 47,96
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 47,96
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 54,01
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 212 pages. 8.27x5.83x0.48 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 196 pages. 8.50x6.00x0.75 inches. In Stock.
Zustand: New. 2023. Paperback. . . . . . Books ship from the US and Ireland.
Zustand: New. 2022. 1st ed. 2022. hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 303119053X ISBN 13: 9783031190537
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.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031190505 ISBN 13: 9783031190506
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. 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.
Taschenbuch. Zustand: Neu. Fraud and Corruption in EU Funding | The Problematic Use of European Funds and Solutions | David Blanco-Alcántara (u. a.) | Taschenbuch | Palgrave Macmillan Studies in Banking and Financial Institutions | xvi | Englisch | 2023 | Springer | EAN 9783031190537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.