<div class="csl-bib-body">
<div class="csl-entry">Miksch, S. (2021). <i>Visual Analytics Meets Process Mining: Challenges and Opportunities</i> [Keynote Presentation]. 2021 3rd International Conference on Process Mining (ICPM), Eindhoven, Netherlands (the). https://doi.org/10.1109/ICPM53251.2021.9576854</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/154360
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dc.description.abstract
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Visual Analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. In other words, Visual Analytics is the science of analytical reasoning facilitated by interactive interfaces and captures the information discovery process keeping the human in the loop. Process Mining aims to extract information and knowledge from event logs to discover, monitor, and improve processes in a variety of application domains. Such event data or traces of activities often possess data quality issues as well as exhibit unexpected behavior and complex relations. Consequently, before and during the implementation of interactive (automated or semi-automated) analysis methods, such as Process Mining algorithms, the analyst needs to explore, investigate, and understand the data at hand in order to decide which analysis methods might be appropriate. The combination of interactive visual data analyses and exploration with Process Mining algorithms makes complex information structures more comprehensible and facilitates new insights. In this talk, I will illustrate the concepts of Visual Analytics, how Visual Analytics combined with Process Mining techniques supports to extract more insights from complex event data, and elaborate about the challenges and opportunities for analyzing process data with Visual Analytics methods. Various examples will illustrate what has been achieved so far and show possible future directions and challenges.
en
dc.language.iso
en
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dc.subject
Visual Analytics
en
dc.subject
Visualization
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dc.subject
Process Mining
en
dc.title
Visual Analytics Meets Process Mining: Challenges and Opportunities
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Keynote Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.linking
https://ieeexplore.ieee.org/document/9576854
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tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.publisher.doi
10.1109/ICPM53251.2021.9576854
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tuw.author.orcid
0000-0003-4427-5703
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tuw.event.name
2021 3rd International Conference on Process Mining (ICPM)
en
tuw.event.startdate
31-10-2021
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tuw.event.enddate
04-11-2021
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Eindhoven
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tuw.event.country
NL
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tuw.event.presenter
Miksch, Silvia
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dc.relation.ispreviousversionof
10.1109/icpm53251.2021.9576854
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.orcid
0000-0003-4427-5703
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
