Second Workshop on Collaboration Mining for Distributed Systems (COMINDS 2023)

held in conjunction with ICPM 2023

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The Second Workshop on Collaboration Mining for Distributed Systems (COMINDS 2023) 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 point 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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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




The workshop welcomes submissions of regular papers, short papers, and show&tell presentations.

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 in total 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 authors of selected workshop papers will be invited to submit an extended version of their contributions to a special issue of a well-established and ranked international journal (tbd).

The paper should be submitted through the ICPM 2023 submission system 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,

Key Dates

  • Abstract Submission: August 22, 2023
  • Papers Submission: August 22, 2023
  • Acceptance Notification: September 12, 2023
  • Pre-workshop Camera-Ready Papers: October 3, 2023
  • Workshops: October 23, 2023
  • Post-workshop Camera-Ready Papers: November 7, 2023

Program Commettee

  • 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



Andrea Delgado

Universidad de la República, Uruguay


Mahsa Bafrani

RWTH Aachen University, Germany


Lorenzo Rossi

University of Camerino, Italy