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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27128

Title: Using event log knowledge to support business process simulation model construction
Authors: Martin, Niels
Issue Date: 2018
Citation: van der Aalst, Wil; Casati, Fabio; Conforti, Raffaele; de Leoni, Massimiliano; Dumas, Marlon; Kumar, Akhil; Mending, Jan; Nepal, Surya; Pentland, Brian; Weber, Barbara (Ed.). Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018,p. 31-35
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 2196
Abstract: My dissertation focuses on the use of event log knowledge, i.e. process mining, to support the development of business process simulation models. Despite the fact that the Process Mining Manifesto highlights this topic as a key research challenge, prior research efforts tend to have a proof-of-concept nature. To this end, this dissertation contributes towards fundamentally bridging the gap between these domains by (i) providing the required conceptualization and (ii) developing a set of methods that extract knowledge from event logs to support specific business process simulation modeling tasks.
URI: http://hdl.handle.net/1942/27128
Link to publication: http://ceur-ws.org/Vol-2196/BPM_2018_paper_7.pdf
ISSN: 1613-0073
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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