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http://hdl.handle.net/1942/22907
Title: | Capturing resource behaviour from event logs | Authors: | SWENNEN, Marijke MARTIN, Niels JANSSENSWILLEN, Gert JANS, Mieke DEPAIRE, Benoit CARIS, An VANHOOF, Koen |
Issue Date: | 2016 | Publisher: | RWTH Aachen University | Source: | 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. | Keywords: | process mining; operational excellence; resource behaviour; log- based process metrics | Document URI: | http://hdl.handle.net/1942/22907 | Link to publication/dataset: | http://ceur-ws.org/Vol-1757/paper12.pdf | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2018 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Swennen, Martin, Janssenswillen, Jans, Depaire, Caris, Vanhoof - Capturing resource behavior from event logs.pdf | Peer-reviewed author version | 241.61 kB | Adobe PDF | View/Open |
SIMPDA2016.140-144.pdf | Published version | 779.66 kB | Adobe PDF | View/Open |
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