Browsing EuroVisSTAR2017 by Issue Date

Now showing items 1-6 of 6

    • STAR: Visual Computing in Materials Science 

      Heinzl, Christoph; Stappen, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Visual computing has become highly attractive for boosting research endeavors in the materials science domain. Using visual computing, a multitude of different phenomena may now be studied, at various scales, dimensions, ...

    • Survey of Surveys (SoS) - Mapping The Landscape of Survey Papers in Information Visualization 

      McNabb, Liam; Laramee, Robert S. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995. However, as a consequence of its growth, it is increasingly difficult to follow the growing ...

    • State of the Art in Edge and Trail Bundling Techniques 

      Lhuillier, Antoine; Hurter, Christophe; Telea, Alex (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Bundling techniques provide a visual simplification of a graph drawing or trail set, by spatially grouping similar graph edges or trails. This way, the structure of the visualization becomes simpler and thereby easier to ...

    • EuroVis 2017 - STARs: Frontmatter 

      Meyer, Miriah; Takahashi, Shigeo; Vilanova, Anna (Eurographics Association, 2017)

    • Social Media Visual Analytics 

      Chen, Siming; Lin, Lijing; Yuan, Xiaoru (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      With the development of social media (e.g. Twitter, Flickr, Foursquare, Sina Weibo, etc.), a large number of people are now using them and post microblogs, messages and multi-media information. The everyday usage of social ...

    • The State-of-the-Art in Predictive Visual Analytics 

      Lu, Yafeng; Garcia, Rolando; Hansen, Brett; Gleicher, Michael; Maciejewski, Ross (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Predictive analytics embraces an extensive range of techniques including statistical modeling, machine learning, and data mining and is applied in business intelligence, public health, disaster management and response, and ...