An adaptive knowledge-based approach for detecting fraud across different e-government domains

Alexopoulos, P; Kafentzis, K; Athanassiadis, N; Benetou, X; Tagaris, T; Jollie, C; Georgolios, P

dc.contributor.author	Alexopoulos, P	en
dc.contributor.author	Kafentzis, K	en
dc.contributor.author	Athanassiadis, N	en
dc.contributor.author	Benetou, X	en
dc.contributor.author	Tagaris, T	en
dc.contributor.author	Jollie, C	en
dc.contributor.author	Georgolios, P	en
dc.date.accessioned	2014-03-01T02:51:33Z
dc.date.available	2014-03-01T02:51:33Z
dc.date.issued	2008	en
dc.identifier.issn	18650929	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35548
dc.subject.other	Decision-making rules	en
dc.subject.other	Different domains	en
dc.subject.other	e-Government	en
dc.subject.other	Fraud detection	en
dc.subject.other	Fraud detection system	en
dc.subject.other	Knowledge model	en
dc.subject.other	Knowledge-based approach	en
dc.subject.other	Ontological frameworks	en
dc.subject.other	Prevention systems	en
dc.subject.other	Rule based	en
dc.subject.other	Rule based reasoning	en
dc.subject.other	Adaptive systems	en
dc.subject.other	Decision making	en
dc.subject.other	Electronic commerce	en
dc.subject.other	Government data processing	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Telecommunication	en
dc.subject.other	Crime	en
dc.title	An adaptive knowledge-based approach for detecting fraud across different e-government domains	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-88653-2-8	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-88653-2-8	en
heal.publicationDate	2008	en
heal.abstract	Fraud detection and prevention systems are based on various technological paradigms but the most prevailing one is rule-based reasoning. However, most of the existing rule-based fraud detection systems consist of fixed and inflexible decision-making rules which limit significantly the effectiveness of such systems. In this paper we present a fraud detection approach which combines the technologies of knowledge-based systems and adaptive systems in order to overcome the limitations of traditional rule-based reasoning. Our approach is supported by an integrated generic methodology for addressing fraud in various e-government domains and organizations through a number of well defined steps that ensure the efficient application of the approach. It is supported also by a generic ontological framework based on which different domain specific fraud knowledge models can be built and through which the generic character and adaptability of our approach is ensured. © 2008 Springer-Verlag.	en
heal.journalName	Communications in Computer and Information Science	en
dc.identifier.doi	10.1007/978-3-540-88653-2-8	en
dc.identifier.volume	23 CCIS	en
dc.identifier.spage	110	en
dc.identifier.epage	121	en