3 Search Results for "Miksch, Silvia"

Document
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.
Cite as

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}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.TIME.2022.2
Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities (Invited Talk)

Authors: Silvia Miksch

Published in: LIPIcs, Volume 247, 29th International Symposium on Temporal Representation and Reasoning (TIME 2022)

Abstract
Visual Analytics as the science of analytical reasoning facilitated by interactive visual interfaces aims to enable the exploration and the understanding of large, heterogeneous, and complex data sets. Time is an important data dimension with distinct characteristics. Intertwining Visual Analytics with time and temporal reasoning introduces outstanding challenges and opportunities, which I will illustrate in this talk.
Cite as

Silvia Miksch. Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities (Invited Talk). In 29th International Symposium on Temporal Representation and Reasoning (TIME 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 247, p. 2:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{miksch:LIPIcs.TIME.2022.2,
  author =	{Miksch, Silvia},
  title =	{{Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities}},
  booktitle =	{29th International Symposium on Temporal Representation and Reasoning (TIME 2022)},
  pages =	{2:1--2:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-262-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{247},
  editor =	{Artikis, Alexander and Posenato, Roberto and Tonetta, Stefano},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2022.2},
  URN =		{urn:nbn:de:0030-drops-172490},
  doi =		{10.4230/LIPIcs.TIME.2022.2},
  annote =	{Keywords: Visual Analytics, Visualization, Time}
}
Document
DOI: 10.4230/DagRep.9.5.31
Visual Analytics for Sets over Time and Space (Dagstuhl Seminar 19192)

Authors: Sara Irina Fabrikant, Silvia Miksch, and Alexander Wolff

Published in: Dagstuhl Reports, Volume 9, Issue 5 (2019)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19192 "Visual Analytics for Sets over Time and Space", which brought together 29 researchers working on visualization (i) from a theoretical point of view (graph drawing, computational geometry, and cognition), (ii) from a temporal point of view (visual analytics and information visualization over time, HCI), and (iii) from a space-time point of view (cartography, GIScience). The goal of the seminar was to identify specific theoretical and practical problems that need to be solved in order to create dynamic and interactive set visualizations that take into account time and space, and to begin working on these problems. The first 1.5 days were reserved for overview presentations from representatives of the different communities, for presenting open problems, and for forming interdisciplinary working groups that will focus on some of the identified open problems as a group. There were three survey talks, ten short talks, and one panel with three contributors. The remaining three days consisted of open mic sessions, working-group meetings, and progress reports. Five working groups were formed that investigated several of the open research questions. Abstracts of the talks and a report from each working group are included in this report.
Cite as

Sara Irina Fabrikant, Silvia Miksch, and Alexander Wolff. Visual Analytics for Sets over Time and Space (Dagstuhl Seminar 19192). In Dagstuhl Reports, Volume 9, Issue 5, pp. 31-56, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{fabrikant_et_al:DagRep.9.5.31,
  author =	{Fabrikant, Sara Irina and Miksch, Silvia and Wolff, Alexander},
  title =	{{Visual Analytics for Sets over Time and Space (Dagstuhl Seminar 19192)}},
  pages =	{31--56},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{5},
  editor =	{Fabrikant, Sara Irina and Miksch, Silvia and Wolff, Alexander},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.5.31},
  URN =		{urn:nbn:de:0030-drops-113806},
  doi =		{10.4230/DagRep.9.5.31},
  annote =	{Keywords: Geovisualization, graph drawing, information visualization, set visualization, visual analytics}
}
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