Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10416
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dc.contributor.authorJANS, Mieke-
dc.contributor.authorLYBAERT, Nadine-
dc.contributor.authorVANHOOF, Koen-
dc.date.accessioned2010-02-11T12:52:02Z-
dc.date.availableNO_RESTRICTION-
dc.date.issued2010-
dc.identifier.citationAccountancy en Bedrijfskunde, 30(1). p. 21-32-
dc.identifier.issn0770-7142-
dc.identifier.urihttp://hdl.handle.net/1942/10416-
dc.language.isoen-
dc.publisherKluwer, Mechelen-
dc.titleInternal Fraud Risk Reduction by Data Mining and Process Mining-
dc.typeJournal Contribution-
dc.identifier.epage32-
dc.identifier.issue1-
dc.identifier.spage21-
dc.identifier.volume30-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
local.identifier.vabbc:vabb:288027-
dc.identifier.urlhttp://hdl.handle.net/1942/8305-
item.fulltextNo Fulltext-
item.fullcitationJANS, Mieke; LYBAERT, Nadine & VANHOOF, Koen (2010) Internal Fraud Risk Reduction by Data Mining and Process Mining. In: Accountancy en Bedrijfskunde, 30(1). p. 21-32.-
item.accessRightsClosed Access-
item.contributorJANS, Mieke-
item.contributorLYBAERT, Nadine-
item.contributorVANHOOF, Koen-
item.validationvabb 2011-
crisitem.journal.issn0770-7142-
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