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QAPM 2022 : 1st International Workshop on Quantitative Aspects of Process Mining

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Link: https://qapm.github.io/
 
When Jun 6, 2022 - Jun 7, 2022
Where Leuven, Belgium
Submission Deadline Mar 8, 2022
Notification Due Apr 8, 2022
Final Version Due Apr 18, 2022
Categories    process mining   process simlation   process management   process monitoring
 

Call For Papers

Call for papers

The 1st International Workshop on “Quantitative Aspects of Process Mining” (QAPM’2022), held in conjunction with CAiSE’2022
6-7 June 2022, Leuven, Belgium
Submission Deadline: March 8th 2022
https://qapm.github.io


Workshop focus

Over the past decades, there have been many developments of new techniques in the field of process mining, ranging from process discovery algorithms, conformance checking metrics, to predictive process monitoring models. As the field matures, there is a clear need to compare and evaluate different approaches, and examine how they react to certain phenomena, like noise or exceptional behaviour.

Despite their relevance, setting up large scale experiments is not straightforward, and the efforts to do so have been limited. The challenges faced by researchers are technical, i.e., which tooling can support large quantitative experiments in a feasible manner, as well as methodological, i.e., what are the best practises with respect to experimental design and statistical rigour.

The purpose of this workshop, Quantitative Aspects of Process Mining, is to provide a forum that specifically welcomes process mining contributions including quantitative process mining experiments. This purpose is multi-faceted: on the one hand is the relevance of the analyses’ results in itself, while on the other hand is the significance of methodological and technical best practises.

Topics of interest include, but are not limited to:
Automated discovery of process models
Conformance Analysis
Decision Mining for Processes
Multi-perspective process mining
Predictive Process Monitoring
Prescriptive Process Monitoring
Process Simulation
Online Process Mining
Scalable Process Mining
Experimental Set Up for process mining
Process Mining Methodologies
Tools for Reproducible Process Mining
Important dates

Workshop paper submission: 8 march 2022
Workshop paper decision: 8 april 2022
Camera-ready submission: 18 april 2022
Workshop: 6-7 June 2022.

Dates are Anywhere on Earth (AoE)

Submission Instructions

We welcome two types of submissions:
Regular papers (12 pages), which can describe original research, case studies or challenges related to the aforementioned topics.
Demo papers (6 pages), which showcase innovative tools or technical setups that support quantitative experiments in process mining or related functionalities. Demo papers should include a link to a ​video that screencasts and demonstrates the tool, preferably including voice, which must not be longer than 4 minutes.

Submissions must use the Springer LNCS/LNBIP ​format and cannot exceed 12 pages. Only papers in English will be considered and must present original research contributions not concurrently submitted elsewhere. Papers must be submitted electronically via the CAiSE EasyChair portal.

Organizers

Josep Carmona, Universitat Politècnica de Catalunya
Gert Janssenswillen, Hasselt University
Sebastiaan J. van Zelst, Fraunhofer Institute for Applied Information Technology FIT / RWTH Aachen University

Program Committee

Han van der Aa, University of Mannheim, Germnay
Abel Armas Cervantes, The University of Melbourne, Australia
Adriano Augusto, The University of Melbourne, Australia
Robin Bergenthum, FernUni Hagen, Germany
Seppe vanden Broucke, KU Leuven, Belgium
Josep Carmona, Polytechnic University of Catalonia, Germany (co-chair)
Jochen De Weerdt, KU Leuven, Belgium
Benoît Depaire, Hasselt University, Belgium
Marlon Dumas, University of Tartu, Estonia
Dirk Fahland, Eindhoven University of Technology, The Netherlands (co-chair)
Gert Janssenswillen, Hasselt University, Belgium (co-chair)
Wolfgang Kratsch, Research Center FIM / Fraunhofer FIT, Germany
Sander Leemans, Queensland University of Technology, Australia
Massimiliano de Leoni, Uniersity of Padoa, Italy
Henrik Leopold, Kühne Logistics University, Germany
Xixi Lu, Utrecht University, The Netherlands
Felix Mannhardt, Eindhoven University of Technology, The Netherlands
Niels Martin, Hasselt Univesristy, Belgium
Jan Mendling, Humboldt-Universität zu Berlin, Germany
Jorge Munoz-Gama, Pontificia Universidad Católica de Chile, Chile
Marco Pegoraro, RWTH Aachen University, Germany
Artem Polyvyanyy, The University of Melbourne, Australia
Jana-Rebecca Rehse, University of Mannheim, Germany
Arik Senderovich, York University, Canada
Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
Jan-Martijn van der Werf, Utrecht University, The Netherlands
Sebastiaan J. van Zelst, Fraunhofer FIT / RWTH Aachen University, Germany (co-chair)



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