Process mining for knowledge-intensive business processes

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

Rannsóknarafurð: Kafli í bók/skýrslu/ráðstefnuritiRáðstefnuframlagritrýni

3 Tilvitnanir (Scopus)

Útdráttur

In recent years, investigating opportunities to support knowledgeintensive business processes has gained increasing momentum in the research community. Novel contributions that introduce paradigms addressing the need for process execution flexibility form an alternative to traditional workflow management approaches and are mostly subsumed under the concept of adaptive case management (ACM). However, many of these approaches omit mining any kind of knowledge about such processes. This is because there is a gap between process mining, which works well for structured processes, and ACM, which mainly focuses on information system support for task management and collaboration using heterogeneous data sources. In this paper, we strive to bridge this gap by introducing a method for mining knowledge-intensive processes. It is part of agendadriven case management, an ACM approach that follows the idea of mining common execution patterns while a case manager handles a flexible agenda.

Upprunalegt tungumálEnska
Titill gistiútgáfuProceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
RitstjórarHarald Sack, Stefanie Lindstaedt, Tobias Ley
ÚtgefandiAssociation for Computing Machinery (ACM)
ISBN-númer (rafrænt)9781450337212
DOI
ÚtgáfustaðaÚtgefið - 21 okt. 2015
Viðburður15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015 - Graz, Austurríki
Tímalengd: 21 okt. 201522 okt. 2015

Ritröð

NafnACM International Conference Proceeding Series
Bindi21-22-October-2015

Ráðstefna

Ráðstefna15th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2015
Land/YfirráðasvæðiAusturríki
Borg/bærGraz
Tímabil21/10/1522/10/15

Athugasemd

Publisher Copyright:
© 2015 ACM.

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