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.
Download CfPThe main topics include, but are not limited to:
Technical University of Denmark (DTU), building 116 room 12, October 14th 2024
Time | Authors | Title |
---|---|---|
13:30 | Prof. Stefanie Rinderle-Ma | Keynote: Applications of Collaborative Process Mining: From Compliance to Change Management |
14:30 | Alessio Giacché, Sara Pettinari, and Lorenzo Rossi | Full paper: Revealing One-to-Many Event Relationships in Event Knowledge Graphs |
15:30 | Janik-Vasily Benzin and Stefanie Rinderle-Ma | Full paper: Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery |
16:00 | Christoffer Rubensson, Jennifer Brettschneider, Rachmadita Andreswari, Kate Revoredo, and Jan Mendling | Extended Abstract: Coordination, Cooperation, and Collaboration in Process Mining |
16:20 | Pieter Kwantes | Extended Abstract: Discovering Cross Organisational Processes from Message Logs |
16:40 | Daniel Calegari and Andrea Delgado | Extended Abstract: Extending predictive process monitoring for collaborative processes |
17:00 | Mahsa Bafrani, Laura González and Lorenzo Rossi | Closing |
Speaker: Prof. Stefanie Rinderle-Ma
Title: Applications of Collaborative Process Mining: From Compliance to Change Management
Abstract: Collaborative processes range from intra-organizational
collaborations to choreographies involving multiple organizations or
business partners. Establishing collaborative processes can be a complex
task. A common approach is to design them in a top-down manner, starting
from choreography models that are subsequently refined into public and
private processes for each partner. However, in practice, explicit
documentation of collaborative processes is often missing. In these
cases, discovering collaborative processes from event log data
constitutes a promising remedy. This talk will discuss different use
cases and applications of collaborative process mining, including
distributed compliance checking as well as change impact analysis and
management.
Short bio: Stefanie Rinderle-Ma is a full professor at the Technical University of Munich, Germany, and holds the Chair of Information Systems and Business Process Management. Her research interests focus on process-oriented information systems, flexible and distributed process technologies, compliance management, as well as production and process intelligence. The overarching goal of her research is to enable and accelerate digitalization and automation through processes and at the same time keep the human in the loop. Application areas comprise manufacturing, transportation and logistics, as well as medicine.
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.
Te unique submission link is https://easychair.org/my/conference?conf=icpm2024, make sure to select CoMinDS track.
The authors of selected regualar papers will be invited to submit an extended version of their contributions to the Process Science journal with open-access-fee waivers.