A Taste of the Different Flavors of Tiramisù

Anti Alman (Corresponding author), Alessio Arleo (Corresponding author), Iris Beerepoot (Corresponding author), Andrea Burattin (Corresponding author), Claudio Di Ciccio (Corresponding author), Manuel Resinas (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The amalgamation of process mining and visual analytics holds the promise for a fruitful new frontier of process exploration, where both fields provide crucial ingredients to the resulting delicacy. The field of process mining brings the concepts of events, traces, and process thinking in general, while the field of visual analytics brings the idea of interactive and cyclical analysis, accounting for the expectations and desires of specific domains and the individuals therein. In this paper, we focus on one such delicacy, aptly named the Tiramisù framework, presenting two flavors of the corresponding multi-layered recipe. More specifically, we build on our earlier work to provide refined servings of Tiramisù for the healthcare and the personal informatics domain, with both being taste-tested by the end users, and the latter being significantly enhanced as a result.

Original languageEnglish
Title of host publicationDoctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024) Copenhagen, Denmark, October 15, 2024
EditorsJochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter
PublisherCEUR-WS.org
Number of pages6
Publication statusPublished - 2024
Event6th International Conference on Process Mining, ICPM 2024 - Copenhagen, Denmark
Duration: 14 Oct 202418 Oct 2024
Conference number: 6

Publication series

NameCEUR Workshop Proceedings
Volume3783
ISSN (Print)1613-0073

Conference

Conference6th International Conference on Process Mining, ICPM 2024
Country/TerritoryDenmark
CityCopenhagen
Period14/10/2418/10/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors.

Keywords

  • Knowledge-intensive processes
  • Process mining
  • Visual analytics
  • Visualization

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