A decision support system for fraud detection in public procurement

Over the past few years, investigators in Brazil have been uncovering numerous corruption and money laundering schemes at all levels of government and in the country's largest corporations. It is estimated that between 2% and 5% of the global GDP is lost annually because of such practices, not...

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Bibliographische Detailangaben
Veröffentlicht in:	International transactions in operational research Jg. 28; H. 1; S. 27 - 47
Hauptverfasser:	Velasco, Rafael B., Carpanese, Igor, Interian, Ruben, Paulo Neto, Octávio C. G., Ribeiro, Celso C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.01.2021
Schlagworte:	Algorithms Contractors Corruption corruption risk assessment COVID‐19 Crime Criminal investigations Data mining Data science decision support system Decision support systems Fraud fraud detection Government purchasing Graph theory Identification methods Jurisdiction Law enforcement Operations research Procurement public procurement Regression analysis Risk assessment risk patterns
ISSN:	0969-6016, 1475-3995
Online-Zugang:	Volltext
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