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Vol-3299
urn:nbn:de:0074-3299-4
Copyright © 2022 for
the individual papers by the papers' authors.
Copyright © 2022 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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ICPM-D 2022
ICPM 2022 Doctoral Consortium and Demo Track 2022
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022
co-located with 4th International Conference on Process Mining (ICPM 2022)
Bolzano, Italy, October, 2022.
Edited by
*
Eindhoven University of Technology, Department of Mathematics and Computer Science, 5612 AE Eindhoven, The Netherlands
**
University of Bayreuth, Faculty of Law, Business and Economics, 95444 Bayreuth, Germany
***
Ulsan National Institute of Science and Technology, Department of Industrial Engineering, 44919 Ulsan, South Korea
****
Free University of Bozen-Bolzano, Faculty of Computer Science, 39100 Bolzano, Italy
*****
Technische Universitaet Berlin, Faculty of Electrical Engineering and Computer Science, Berlin, Germany
Table of Contents
Doctoral Consortium
Demo Track
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Amun: A tool for Differentially Private Release of Event Logs for Process Mining (Extended Abstract)
56-60
Gamal Elkoumy,
Alisa Pankova,
Marlon Dumas
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Interactive Process Identification and Selection from SAP ERP (Extended Abstract)
61-64
Julian Weber,
Gyunam Park,
Majid Rafiei,
Wil van der Aalst
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PM4KNIME: Process Mining Meets the KNIME Analytics Platform (Extended Abstract)
65-69
Humam Kourani,
Sebastiaan van Zelst,
Barry-Detlef Lehmann,
Gabriel Einsdorf,
Stefan Helfrich,
Fabian Liße
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FilterTree: a Repeatable Branching XES Editor (Extended Abstract)
70-74
Sander J.J. Leemans
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Streaming Process Mining with Beamline (Extended Abstract)
75-79
Andrea Burattin
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Visualization Libraries for Process Analytics (Extended Abstract)
80-84
Nour Assy,
Céline Souchet,
Thomas Bouffard,
Olan Anesini
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Privacy-Preserving Process Mining with PM4Py (Extended Abstract)
85-89
Henrik Kirchmann,
Stephan A. Fahrenkrog-Petersen,
Martin Kabierski,
Han van der Aa,
Matthias Weidlich
-
PURPLE: a PURPose-guided Log GEnerator (Extended Abstract)
90-94
Andrea Burattin,
Barbara Re,
Lorenzo Rossi,
Francesco Tiezzi
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Process Analysis with bupaR 0.5.0: What’s New? (Extended Abstract)
95-99
Gerhardus A. W. M. van Hulzen,
Gert Janssenswillen,
Niels Martin,
Benoît Depaire
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Discover Context-Rich Local Process Models (Extended Abstract)
100-103
Mitchel Brunings,
Dirk Fahland,
Eric Verbeek
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Konekti: A Data Preparation Platform for Process Mining (Extended Abstract)
104-107
Lotte Vugs,
Maarten van Asseldonk,
Niek van Son
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ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract)
108-112
Zahra Dasht Bozorgi,
Aleksei Kopõlov,
Marlon Dumas,
Marcello La Rosa,
Artem Polyvyanyy
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PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract)
113-117
Martin Kabierski,
Stephan A. Fahrenkrog-Petersen,
Glenn Dittmann,
Matthias Weidlich
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Coral: Conversational What-If Process Analysis (Extended Abstract)
118-122
Daniel Barón-Espitia,
Marlon Dumas,
Oscar González-Rojas
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Music Score Analysis with Process Mining (Extended Abstract)
123-127
István Koren
2022-11-22: submitted by Marwan Hassani,
metadata incl. bibliographic data published under Creative Commons CC0
2022-12-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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