VIPRA

The 2024 Workshop on Visual Process Analytics (Vipra 2024) is the 1st annual workshop that provides an opportunity for participants to discuss state-of-the-art event visualization and process mining and learn how both techniques can mutually benefit each other. In this workshop we aim to bring together researchers from both Visual Analytics and Process Mining, to learn, create a common language, spark collaborations, and advance both fields. Process Mining is a data-driven discipline that focuses on extracting valuable insights and knowledge from the vast amount of event data generated within organizations. It involves the discovery, analysis, and improvement of process models by leveraging techniques from data science, machine learning, and data analytics. By examining event logs and historical data, process mining aims to provide a clear, objective view of how processes actually operate, identifying bottlenecks, deviations, and opportunities for optimization. In turn, this supports organizations in making more data-informed decisions, and enhance operational efficiency.

Workshop topics include, but are not limited to:

• VA to support exploration and comparison of discovered process models
• VA to support the comparison of event logs and process models, e.g., in conformance checking
• VA to support the generation of hypotheses about the business process and the identification of process improvement ideas

Paper Format, Publication, and Submission Guidelines

We will accept short papers with up to 5 pages plus one page of references (5 + 1). We encourage a diverse range of submissions and demonstrations in any of the short paper types listed below:

• Application/Case-study papers (format: 5 + 1)
• Research papers (format: 5 + 1)
• Position papers and system demos papers (format: 2 + 1)

All material will be submitted via the Precision Conference System (PCS)

Accepted papers will be included in the Eurographics Digital Library and assigned a DOI as fully citable publications.

For all submissions, please use the EuroVis 2024 LateX2e Style. On Overleaf, this template can be imported easily by selecting "New Project" -> "Upload Project" and uploading the zip file. Use EGAuthorGuidelines-eurovis24-short.tex for your submission.
Contact vipra.workshop [at] gmail.com if you have any questions.

Paper Format, Publication, and Submission Guidelines

We will accept short papers with up to 5 pages plus one page of references (5 + 1). We encourage a diverse range of submissions and demonstrations in any of the short paper types listed below:

• Application/Case-study papers (format: 5 + 1)
• Research papers (format: 5 + 1)
• Position papers and system demos papers (format: 2 + 1)

All material will be submitted via the Precision Conference System (PCS)

Accepted papers will be included in the Eurographics Digital Library and assigned a DOI as fully citable publications.

For all submissions, please use the EuroVis 2024 LateX2e Style. On Overleaf, this template can be imported easily by selecting "New Project" -> "Upload Project" and uploading the zip file. Use EGAuthorGuidelines-eurovis24-short.tex for your submission.
Contact vipra.workshop [at] gmail.com if you have any questions.

Session 1: Start 9AM

• Workshop Opening
• Keynote by Andrea Burattin
• F. Klessascheck, T. Burghard Knoche, L. Pufahl. Designing and Evaluating a Structural Model for Conformance Checking Visualizations
• R. Brinkman, F. Mannhardt, R. J. P. Mennens, R. Scheepens. Interpretability challenges for discovered process models: A user study and prototype solution

Session 2: Start 11:10AM

• R. Brath, P. Andersen, M. Matusiak. Visual Journey Analytics: lessons learned from real-world implementations
• S. Knoblich, J. Mendling, H. Jambor. Review of visual encodings in common process mining tools
• G. Shurkhovetskyy, P. Schumacher, P. Koytek. Interacting with Large Process Data: Challenges in Visual Exploration
• Panel Discussion
• Workshop Closing

Abstract

Over the last couple of decades, process mining has grown into a well-established discipline that aims to extract valuable knowledge regarding business processes, starting from execution data. As a discipline rooted in Computer Science, the focus of process mining has historically revolved around computational aspects (e.g., formal modeling and algorithms), oftentimes neglecting aspects related to results communication and understandability. As process mining algorithms have become more mature and more capable of handling unstructured settings, their application areas have broadened, for example, into healthcare, education, and law. In these domains, however, new vital challenges are emerging in communicating the results back to the end users, who are domain experts unfamiliar with process mining formalities. Leveraging the knowledge and experience acquired in visual analytics can help process mining define new approaches to deliver process mining insights and actionable results to domain experts.

Anti Alman, University of Tartu
Iris Beerepoot, Utrecht University
Andrea Burattin, Technical University of Denmark
Francisco Maria Calisto, University of
Jan Mendling, Humboldt-Universität zu Berlin
Velitchko Filipov, Technical University of Vienna
Katerina Vrotsou, Linköping University
Barbara Weber, University of St. Gallen
Manuel Resinas, University of Sevilla
Sebastian Van Zelst, Celonis Labs - München