Please use this identifier to cite or link to this item: http://dspace.lib.uom.gr/handle/2159/22911
Author: Καραμήτρος, Δημήτριος
Title: A systematic investigation of risk management and process mining ontologies
Date Issued: 2019
Department: Πρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορική
Supervisor: Βεργίδης, Κωνσταντίνος
Abstract: This 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 mining
Keywords: Process mining
Enterprise risk management
Business process management
Business process intelligence
Information: Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019.
Rights: CC0 1.0 Παγκόσμια
Appears in Collections:Π.Μ.Σ. στην Εφαρμοσμένη Πληροφορική (M)

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