Third Workshop on Collaboration Mining for Distributed Systems (COMINDS 2024)

held in conjunction with ICPM 2024

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The Third Workshop on Collaboration Mining for Distributed Systems (CoMinDS 2024) aims to facilitate the sharing of research findings, ideas, and experiences on new process mining techniques and practices for analyzing collaboration processes. Process mining is a powerful tool for the analysis of business processes carried on by one participant. However, it 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. In this direction, the workshop points to creating a dialogue centered on the development of scientific foundations enabling the application of process mining in such distributed scenarios.

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Topics

The main topics 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
  • Enterprise Collaboration Systems
  • Multi-perspective Analysis of Collaboration Processes
  • Privacy-preserving Process Mining for Distributed Systems
  • Distributed Systems Monitoring and Repair
  • Federated Process Mining
  • Streaming Collaboration Mining

Program

TBD

Keynote

TBD

Submission

The workshop welcomes submissions of regular full papers, abstracts, and posters.

Regular papers must provide original research contributions significant for the workshop theme and have not been published previously. Submissions must use the Springer LNCS/LNBIP format. Submissions must be in English and must not exceed 12 pages. 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.

Abstracts and posters 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. Abstracts and poster presentations will take place in an interactive and participation-encouraging format based on the number and nature of the accepted contributions. Authors must submit max 2 pages for abstracts using the Springer LNCS/LNBIP format, or 1 page A0 for posters. Abstracts and posters will be uploaded to the workshop website. At least one author of each accepted abstract and poster must register and participate in the workshop.

Key Dates

  • Abstract Submission: August 8, 2024
  • Papers Submission: August 15, 2024
  • Paper Acceptance Notification: September 2, 2024
  • Pre-workshop Camera-Ready Papers: Spetember 23, 2024
  • Workshops: October 14, 2024
  • Post-workshop Camera-Ready Papers: October 29, 2024

Program Committee

  • Cristina Cabanillas, University of Seville, Spain
  • Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea
  • Patrick Delfmann, University of Koblenz, Germany
  • Chiara Di Francescomarino, University of Trento, Italy
  • Dirk Fahland, Eindhoven University of Technology, The Netherlands
  • Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy
  • Pascal Poizat, Université Paris Nanterre, France
  • Daniel Calegari, Universidad de la Republica, Uruguay
  • Flavio Corradini, University of Camerino, Italy
  • Andrea Delgado, Universidad de la Republica, Uruguay
  • Marco Franceschetti, University of St. Gallen, Switzerland
  • Meroni Giovanni, Technical University, Denmark
  • Daniela Grigori, University Paris-Dauphine, France
  • Orlenys López Pintado, University of Tartu, Estonia
  • Majid Rafiei, RWTH Aachen University, Germany
  • Barbara Re, University of Camerino, Italy
  • Stefanie Rinderle-Ma, Technical University of Munich, Germany
  • Francesco Tiezzi, Università di Firenze, Italy
  • Mathias Weske, Hasso-Plattner-Institut, Germany
  • Andrea Vandin, Sant'Anna di Pisa, Italy

    • Organizers

    ...

    Lorenzo Rossi

    University of Camerino, Italy

    lorenzo.rossi@unicam.it

    ...

    Mahsa Pourbafrani

    RWTH Aachen University, Germany

    mahsa.bafrani@pads.rwth-aachen.de

    ...

    Laura González

    Universidad de la República, Uruguay

    lauragon@fing.edu.uy