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Multi-Faceted Visual Process Mining and Analytics (Dagstuhl Seminar 25152)

Authors: Claudio Di Ciccio, Pnina Soffer, Christian Tominski, Katerina Vrotsou, and Giovanni Meroni

Published in: Dagstuhl Reports, Volume 15, Issue 4 (2025)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 25152 "Multi-Faceted Visual Process Mining and Analytics". The seminar brought together experts from the process mining (PM) community and the visual analytics (VA) community to strengthen the identified synergies of both fields and identify further novel and promising research directions. A particular focus of the seminar was on the challenges arising from the multi-faceted nature of processes and the multi-faceted data to be investigated. The relevant facets include time (when do processes happen), space (where do processes happen), topology (how are processes connected), object centricity (how are processes characterized), uncertainty (what are we unsure about), analytic provenance (how did we obtain our knowledge), and more. This report deals with challenges related to these different data facets, individually and in combination. As a general principle, VA methods are advocated to be an integral part of all phases of the PM process to facilitate a comprehensive multi-faceted data exploration, hypothesis generation, and presentation of results. More concretely, the discussions revolve around several aspects at the crossroads of the two disciplines workflows, including the data facets under analysis, the human factors at play, the catalog of aided tasks, novel combinations of visual, interactive, and computational methods, as well as integration, scalability, and general applicability of the devised solutions.

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Claudio Di Ciccio, Pnina Soffer, Christian Tominski, Katerina Vrotsou, and Giovanni Meroni. Multi-Faceted Visual Process Mining and Analytics (Dagstuhl Seminar 25152). In Dagstuhl Reports, Volume 15, Issue 4, pp. 28-78, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{diciccio_et_al:DagRep.15.4.28,
  author =	{Di Ciccio, Claudio and Soffer, Pnina and Tominski, Christian and Vrotsou, Katerina and Meroni, Giovanni},
  title =	{{Multi-Faceted Visual Process Mining and Analytics (Dagstuhl Seminar 25152)}},
  pages =	{28--78},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{15},
  number =	{4},
  editor =	{Di Ciccio, Claudio and Soffer, Pnina and Tominski, Christian and Vrotsou, Katerina and Meroni, Giovanni},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.4.28},
  URN =		{urn:nbn:de:0030-drops-252573},
  doi =		{10.4230/DagRep.15.4.28},
  annote =	{Keywords: human in the loop, process mining, visual analytics}
}

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DOI: 10.4230/DagRep.13.7.1

Human in the (Process) Mines (Dagstuhl Seminar 23271)

Authors: Claudio Di Ciccio, Silvia Miksch, Pnina Soffer, Barbara Weber, and Giovanni Meroni

Published in: Dagstuhl Reports, Volume 13, Issue 7 (2024)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23271, "Human in the (process) mines". The seminar dealt with topics that are at the intersection of process mining and visual analytics, and can potentially contribute to both areas. Process mining is a discipline blending data science concepts with business process management. It utilizes event data recorded by IT systems for a variety of tasks, including the automated discovery of graphical process models, conformance checking between data and models, enhancement of process models with additional analytic information, run-time monitoring of processes and operational support. Ultimately, the purpose of process mining is to make sense of event data and answer business and domain-related questions to support domain-specific goals. Visual Analytics, defined as "the science of analytical reasoning facilitated by interactive visual interfaces," is a multidisciplinary approach, integrating aspects of data mining and knowledge discovery, information visualization, human-computer interaction, and cognitive science to support humans in making sense of various kinds of data. While these two research disciplines face similar challenges in different contexts, there have been few interactions and cross-fertilization efforts between the respective communities so far. This Dagstuhl Seminar is intended to bring together researchers from both communities and foster joint research efforts and collaborations to advance both fields and enrich future approaches to be developed.

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Claudio Di Ciccio, Silvia Miksch, Pnina Soffer, Barbara Weber, and Giovanni Meroni. Human in the (Process) Mines (Dagstuhl Seminar 23271). In Dagstuhl Reports, Volume 13, Issue 7, pp. 1-33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{diciccio_et_al:DagRep.13.7.1,
  author =	{Di Ciccio, Claudio and Miksch, Silvia and Soffer, Pnina and Weber, Barbara and Meroni, Giovanni},
  title =	{{Human in the (Process) Mines (Dagstuhl Seminar 23271)}},
  pages =	{1--33},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{7},
  editor =	{Di Ciccio, Claudio and Miksch, Silvia and Soffer, Pnina and Weber, Barbara and Meroni, Giovanni},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.7.1},
  URN =		{urn:nbn:de:0030-drops-197731},
  doi =		{10.4230/DagRep.13.7.1},
  annote =	{Keywords: human in the loop, process mining, visual analytics}
}

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Documents authored by Di Ciccio, Claudio

Multi-Faceted Visual Process Mining and Analytics (Dagstuhl Seminar 25152)

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Human in the (Process) Mines (Dagstuhl Seminar 23271)

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