CfP: 2nd Workshop on Collaboration Mining for Distributed Systems (CoMinDS) at the 5th International Conference on Process Mining (ICPM 2023)

*Apologies for cross and multiple postings*

Call for Papers: 2nd Workshop on Collaboration Mining for Distributed Systems (CoMinDS) at the 5th International Conference on Process Mining (ICPM 2023)
October 23rd, 2023
Università La Sapienza, Rome, Italy
https://pros.unicam.it/cominds


The 2nd Workshop on Collaboration Mining for Distributed Systems (COMINDS2023) aims to facilitate the sharing of research findings, ideas, and experiences on new process mining techniques and practices for analyzing collaboration processes. Process mining lacks approaches able to deal with the analysis of collaboration processes implemented by many participants in a distributed system e.g., supply chains involving manufacturers, producers, and retailers; healthcare scenarios involving patients, hospitals, and doctors; or even smart systems like multi-robot and IoT systems. In this setting, confidentiality, privacy, data heterogeneity, and case correlation are only a few of the issues related to data preprocessing. Likewise, there is a lack of discovery algorithms, conformance techniques, and enhancement approaches. Thus, there is a need for approaches to support process mining to fill this gap.

The main topics relevant to the COMINDS workshop include, but are not limited to:

• Generation of Synthetic Distributed Event Logs
• Distributed Event Logs Preprocessing
• Correlation Mechanisms for Distributed Event Logs
• Discovery of Collaboration Process Models
• Conformance Metrics and Techniques for Collaboration Process Models
• Multi-perspective Analysis of Collaboration Processes
• Privacy-preserving Process Mining for Distributed Systems
• Distributed Systems Monitoring and Repair
• Federated Process Mining
• Streaming Collaboration Mining

Important Dates
Abstract Submission: August 22, 2023
Papers Submission: August 22, 2023
Acceptance Notification: September 12, 2023
Pre-workshop camera-ready papers: October 3, 2023
Workshop date: October 23rd, 2023
Post-workshop camera-ready papers: November 7, 2023

Submissions
Regular and Short papers must provide original research contributions significant for the workshop theme which have not been published previously. Submissions must use the Springer LNCS/LNBIP format. Submissions must be in English and must not exceed 12 pages for regular papers and 4 pages for short papers. Accepted papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop.

Show&Tell presentations could be ongoing research or non-research contributions such as case studies, experiences, lessons learned from projects, industry showcases, and software tool demonstrations significant for the workshop theme. Show&Tell presentations will take place in an interactive and participation-encouraging format based on the number and nature of the accepted contributions. Authors must submit a long abstract of max 2 pages. Show&Tell contributions will be uploaded to the workshop website. At least one author of each accepted Show&Tell must register and participate in the workshop.

The paper should be submitted through the ICPM 2023 submission system
https://easychair.org/conferences/?conf=icpm2023 by selecting the "Collaboration Mining for Distributed Systems" option.

The authors of selected ICPM workshop papers will be invited to submit an extended version of their contribution to the Journal of Intelligent Information Systems
(Springer, https://www.springer.com/journal/10844).

COMINDS Chairs
Lorenzo Rossi, University of Camerino, Italy
Andrea Delgado, Universidad de la República, Uruguay
Mahsa Bafrani, RWTH Aachen University, Germany

Program Committee

• Andrea Burattin, Technical University of Denmark, Denmark
• Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
• Cristina Cabanillas, Universidad de Sevilla, Spain
• Daniel Calegari, Universidad de la República, Uruguay
• Flavio Corradini, University of Camerino, Italy
• Adela del Río Ortega, Universidad de Sevilla, Spain
• Marco Franceschetti, University of St. Gallen, Switzerland
• Orlenys López Pintado, University of Tartu, Estonia
• Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy
• Giovanni Meroni,Technical University of Denmark, Denmark
• Majid Rafiei, RWTH Aachen University, Germany
• Barbara Re, University of Camerino, Italy
• Hajo Reijers, Utrecht University, The Netherlands
• Francesco Tiezzi, University of Florence, Italy
• Pascal Poizat, University Paris Nanterre, France