DagRep.3.11.154.pdf
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Unleashing Operational Process Mining (Dagstuhl Seminar 13481)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 3, Issue 11
Volume: Dagstuhl Reports, Volume 3
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2014-03-21
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Rafael Accorsi, Ernesto Damiani, and Wil van der Aalst. Unleashing Operational Process Mining (Dagstuhl Seminar 13481). In Dagstuhl Reports, Volume 3, Issue 11, pp. 154-192, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/DagRep.3.11.154
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13481 "Unleashing Operational Process Mining". Process mining is a young research discipline connecting computational intelligence and data mining on the one hand and process modeling and analysis on the other hand. The goal of process mining is to discover, monitor, diagnose and improve real processes by extracting knowledge from event logs readily available in today's information systems. Process mining bridges the gap between data mining and business process modeling and analysis. The seminar that took place November 2013 was the first in its kind. About 50 process mining experts joined forces to discuss the main process mining challenges and present cutting edge results. This report aims to describe the presentations, discussions, and findings.
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- Process mining
- Big data
- Conformance checking
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