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 | Source: | 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. | Keywords: | business process simulation; process mining | Document URI: | http://hdl.handle.net/1942/27128 | Link to publication/dataset: | http://ceur-ws.org/Vol-2196/BPM_2018_paper_7.pdf | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2020 |
Appears in Collections: | Research publications |
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paper7.pdf | Published version | 113.64 kB | Adobe PDF | View/Open |
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