Please use this identifier to cite or link to this item: http://dspace.lib.uom.gr/handle/2159/22911
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dc.contributor.advisorΒεργίδης, Κωνσταντίνοςel
dc.contributor.authorΚαραμήτρος, Δημήτριοςel
dc.date.accessioned2019-04-09T11:14:38Z-
dc.date.available2019-04-09T11:14:38Z-
dc.date.issued2019el
dc.identifier.urihttp://dspace.lib.uom.gr/handle/2159/22911-
dc.descriptionΔιπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019.el
dc.description.abstractThis study proposes and examines the ‘’Risk – Process’’ ontology with respect to and in comparison with the Process mining methodology. The ontology consists of Process elements (Process Mining, Business Process Management and Business Process Intelligence) and Risk elements (Governance, Risk Management & Compliance, Internal Audit and Enterprise Risk Management). A two-fold literature review is executed, focusing firstly on the six key elements of the ‘’Risk - Process’’ ontology, and secondly at the “Risk” components of the ontology. Moving on, as an original contribution, the popularity and the coherence of the aforementioned elements in internet searches from 2004 to 2018 is presented and forecasted with the use of the Google Trends tool. As a last step, a statistical analysis of the time series obtained through Google Trends is performed, in order to find relation, correlations, statistical significance and predictors with respect to Process miningel
dc.format.extent145el
dc.language.isoen_USen
dc.publisherΠανεπιστήμιο Μακεδονίαςel
dc.rightsCC0 1.0 Παγκόσμια*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectProcess miningen
dc.subjectEnterprise risk managementen
dc.subjectBusiness process managementen
dc.subjectBusiness process intelligenceen
dc.titleA systematic investigation of risk management and process mining ontologiesel
dc.typeElectronic Thesis or Dissertationen
dc.typeTexten
dc.contributor.departmentΠρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορικήel
Appears in Collections:Π.Μ.Σ. στην Εφαρμοσμένη Πληροφορική (M)

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