Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14001
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorDEPAIRE, Benoit-
dc.contributor.authorGeuns, Raf-
dc.date.accessioned2012-09-27T10:27:50Z-
dc.date.available2012-09-27T10:27:50Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/1942/14001-
dc.description.abstractIn the beginning of 2012, the IEEE Task force on Process Mining created a list of eleven challenging aspects concerning process mining. A couple of these challenges state that non-experts find it difficult to perform process mining and analyze process mining results. The goal of this master thesis is try to present an effective methodology for gaining knowledge from business processes with the use of process mining.-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.language.isoen-
dc.publisherUHasselt Diepenbeek-
dc.titleDeveloping a process mining workflow based on the KDD framework-
dc.typeTheses and Dissertations-
local.format.pages0-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Management-Management Information Systems-
local.type.specifiedMaster thesis-
dc.bibliographicCitation.oldjcatD2-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationGeuns, Raf (2012) Developing a process mining workflow based on the KDD framework.-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
06237572011832.pdf2.97 MBAdobe PDFView/Open
Show simple item record

Page view(s)

38
checked on Jun 24, 2022

Download(s)

8
checked on Jun 24, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.