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Event log generation : an industry perspective

Kampik, Timotheus, 1989- (author)
SAP Signavio, Berlin, Germany
Mathias, Weske (author)
Hasso Plattner Institute, University of Potsdam, Germany
 (creator_code:org_t)
2022-05-30
2022
English.
In: Enterprise, business-process and information systems modeling. - Cham : Springer. - 9783031074752 - 9783031074745 ; , s. 123-136
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This paper presents the results of an industry expert survey about event log generation in process mining. It takes academic assumptions as a starting point and elicits practitioner’s assessments of statements about process execution, process scoping, process discovery, and process analysis. The results of the survey shed some light on challenges and perspectives around event log generation, as well as on the relationship between process models and process execution, and derive challenges for event log generation from it. The responses indicate that particularly relevant challenges exist around data integration and quality, and that process mining can benefit from a systematic integration with more traditional and wide-spread business intelligence approaches.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

Process Mining
Event Logs
Business Process Management
Computer Science
datalogi

Publication and Content Type

ref (subject category)
kon (subject category)

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