<div class="csl-bib-body">
<div class="csl-entry">Radoš, S. (2023). <i>Reprojecting visualizations for advanced interaction</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.24697</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2023.24697
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/188242
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dc.description.abstract
Visual analytics (VA) is increasingly important in data exploration and analysis. While the qualitative results of interactive visual analysis (IVA) remain an essential strength of VA, we believe that extending the current IVA approach is necessary to support critical applications such as medical diagnosis and decision-making. This master thesis supports the existing research by incorporating more quantitative results and allowing users to reproduce their brushing results. Overlaid descriptive statistics and the relative difference plot contribute to decision-making and interpretation. The structured brushing space and novel brushes like percentile and Mahalanobis enable interactive and reproducible quantitative analysis. Positive feedback validates its applicability across domains.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Brushing
en
dc.subject
Visualization
en
dc.title
Reprojecting visualizations for advanced interaction
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2023.24697
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Sanjin Radoš
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Matkovic, Kresimir
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tuw.publication.orgunit
E186 - Institut für Computergraphik und Algorithmen