Examining case management demand using event log complexity metrics

Marian Benner-Wickner, Matthias Book, Tobias Bruckmann, Volker Gruhn

Rannsóknarafurð: Kafli í bók/skýrslu/ráðstefnuritiRáðstefnuframlagritrýni

4 Tilvitnanir (Scopus)

Útdráttur

One of the main goals of process mining is to automatically discover meaningful process models from event logs. Since these logs are the essential source of information for discovery algorithms, their quality is of high importance. In recent years, many studies on the quality of resulting process models have been conducted. However, the analysis of event log quality prior to the generation of models has been neglected. For example, yet there are no metrics which can measure the degree of event log quality that is needed so that discovery algorithms can be applied. Especially in the context of case management (CM) where processes are less structured, complex event logs reduce the effectiveness of the process discovery. In order to avoid mining impractical 'spaghetti processes', it would be convenient to measure the event log complexity prior to discovery steps. In this paper, we provide our research results concerning the design and applicability of such metrics. First of all, they shall help to indicate whether the event log quality is sufficient for traditional process discovery. In case of very poor quality, they indicate the demand for more agile techniques (e.g. adaptive CM or agenda-driven CM).

Upprunalegt tungumálEnska
Titill gistiútgáfuProceedings - IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, EDOCW 2014
RitstjórarManfred Reichert, Georg Grossmann, Stefanie Rinderle-Ma, Sylvain Halle, Dimka Karastoyanova, Georg Grossmann, Manfred Reichert, Stefanie Rinderle-Ma
ÚtgefandiInstitute of Electrical and Electronics Engineers Inc.
Síður108-115
Síðufjöldi8
ISBN-númer (rafrænt)9781479954704, 9781479954704
DOI
ÚtgáfustaðaÚtgefið - 2 des. 2014
Viðburður18th IEEE International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, EDOCW 2014 - Ulm, Þýskaland
Tímalengd: 1 sep. 20142 sep. 2014

Ritröð

NafnProceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW
ISSN-númer (prentað)1541-7719

Ráðstefna

Ráðstefna18th IEEE International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, EDOCW 2014
Land/YfirráðasvæðiÞýskaland
Borg/bærUlm
Tímabil1/09/142/09/14

Athugasemd

Publisher Copyright:
© 2014 IEEE.

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