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QAPM 2022 : 1st International Workshop on Quantitative Aspects of Process Mining | |||||||||||||||
Link: https://qapm.github.io/ | |||||||||||||||
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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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