posted by organizer: lorenzorossiunicam || 694 views || tracked by 1 users: [display]

CoMinDS 2023 : 2nd Workshop on Collaboration Mining for Distributed Systems


When Oct 23, 2023 - Oct 27, 2023
Where Università La Sapienza, Rome, Italy
Submission Deadline Aug 22, 2023
Notification Due Sep 12, 2023
Categories    process mining   distributed system   business process management   coordination

Call For Papers

The Second Workshop on Collaboration Mining for Distributed Systems (COMINDS 2023), held in conjunction with the 5th International Conference on Process Mining, 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

*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.
Selected, accepted research papers will be considered for publication in an extended and
revised form in a special issue to be published in TBD.
The paper should be submitted through the ICPM 2023 submission system by selecting the "Collaboration Mining for Distributed Systems" option

Related Resources

PCDS 2024   The 1st International Symposium on Parallel Computing and Distributed Systems
ICPM 2024   International Conference on Process Mining
doors 2025   5th Edge Computing Workshop
DataMod 2024   12th International Symposium DataMod 2024: From Data to Models and Back
BPMDS 2024   Business Process Modeling, Development, and Support
ICDM 2024   IEEE International Conference on Data Mining
SPIE-Ei/Scopus-ITNLP 2024   2024 4th International Conference on Information Technology and Natural Language Processing (ITNLP 2024) -EI Compendex
GenAI4PM 2024   The First International Workshop on Generative AI for Process Mining
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
KDD 2025   31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining