IWEBCARE: AN ONTOLOGICAL APPROACH FOR FRAUD DETECTION IN THE HEALTHCARE DOMAIN

Alexopoulos, P; Benetou, X; Tagaris, T; Georgolios, P

dc.contributor.author	Alexopoulos, P	en
dc.contributor.author	Benetou, X	en
dc.contributor.author	Tagaris, T	en
dc.contributor.author	Georgolios, P	en
dc.date.accessioned	2014-03-01T01:56:02Z
dc.date.available	2014-03-01T01:56:02Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27933
dc.relation.uri	http://iwebcare.iisa-innov.com/documents/iWebCare_An%20ontological%20approach%20for%20fraud%20detection%20in%20the%20healthcare%20domain.pdf	en
dc.subject	Business Process Modelling	en
dc.subject	Data Mining	en
dc.subject	Design and Development	en
dc.subject	Fraud Detection	en
dc.subject	Health Care	en
dc.subject	Health Knowledge	en
dc.subject	Knowledge Engineering	en
dc.subject	Web Service	en
dc.title	IWEBCARE: AN ONTOLOGICAL APPROACH FOR FRAUD DETECTION IN THE HEALTHCARE DOMAIN	en
heal.type	journalArticle	en
heal.publicationDate	2007	en
heal.abstract	The European iWebCare project (FP6-2004-IST-4-028055) aims at designing and developing a flexible fraud detection web services platform, which will be able to serve e-government processes of fraud detection and prevention, in order to ensure quality and accuracy and minimize loss of health care funds. This paper discusses the approach this project adopts and which involves the introduction of a fraud	en