Reprojecting Visualizations for Advanced Interaction | TU Wien

Information

Publication Type: Master Thesis
Workgroup(s)/Project(s):
- Visualization Group
Date: 2023
Date (Start): 2014
TU Wien Library: AC16941517
Second Supervisor: Kresimir Matkovic
Open Access: yes
First Supervisor: Eduard Gröller
Pages: 145
Keywords: Brushing, Visualization

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.

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thesis

Weblinks

BibTeX

@mastersthesis{Sanjin_Rados_RV,
  title =      "Reprojecting Visualizations for Advanced Interaction",
  author =     "Sanjin Rados",
  year =       "2023",
  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.",
  pages =      "145",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien",
  keywords =   "Brushing, Visualization",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/",
}