Interactive Visual Data Analysis

Information

  • Publication Type: Invited Talk
  • Workgroup(s)/Project(s):
  • Date: 19. September 2020
  • Event: Conference on Image and Graphics Technology and Application (IGTA) 2021
  • Location: Bejing
  • Open Access: yes

Abstract

Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error, and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. Several examples of interactively and visually analyzing data will be discussed in detail. These include: geospatial decision support, radiation therapy planning, and integrative cell biology. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.

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BibTeX

@talk{Groeller_V3_2020,
  title =      " Interactive Visual Data Analysis",
  author =     "Meister Eduard Gr\"{o}ller",
  year =       "2020",
  abstract =   "Visualization and visual computing use computer-supported,
               interactive, visual representations of (abstract) data to
               amplify cognition. In recent years data complexity
               concerning volume, veracity, velocity, and variety has
               increased considerably. This is due to new data sources as
               well as the availability of uncertainty, error, and
               tolerance information. Instead of individual objects entire
               sets, collections, and ensembles are visually investigated.
               There is a need for visual analyses, comparative
               visualization, quantitative visualizations, scalable
               visualizations, and linked/integrated views. Several
               examples of interactively and visually analyzing data will
               be discussed in detail. These include: geospatial decision
               support, radiation therapy planning, and integrative cell
               biology. Given the amplified data variability, interactive
               visual data analyses are likely to gain in importance in the
               future. Research challenges and directions are sketched at
               the end of the talk.",
  month =      sep,
  event =      "Conference on Image and Graphics Technology and Application
               (IGTA) 2021",
  location =   "Bejing ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V3_2020/",
}