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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22907

Title: Capturing resource behaviour from event logs
Authors: Swennen, Marijke
Martin, Niels
Janssenswillen, Gert
Jans, Mieke J.
Depaire, Benoît
Caris, An
Vanhoof, Koen
Issue Date: 2016
Publisher: RWTH Aachen University
Citation: Ceravolo, Paolo; Guetl, Christian; Rinderle-Ma, Stefanie (Ed.). Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis, RWTH Aachen University,p. 130-134
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 1757
Abstract: Process mining mainly focuses on the retrieval of process models from event logs. As these discovery algorithms make assumptions, performance analyses based on these models can present a biased view. In literature, algorithm-agnostic process metrics have been introduced. Given the critical importance of resources in the light of continuous process improvement, this paper extends the process metrics framework towards the resource perspective. New metrics are added and existing metrics are adapted. Using the extended framework, organisations can retrieve useful insights in resource behaviour.
URI: http://hdl.handle.net/1942/22907
Link to publication: http://ceur-ws.org/Vol-1757/paper12.pdf
ISSN: 1613-0073
Category: C1
Type: Proceedings Paper
Validation: vabb, 2018
Appears in Collections: Research publications

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