Now showing items 21-40 of 152

    • Dual Radial Set 

      Matkovic, Kresimir; Gracanin, Denis; Bardun, Matea; Splechtna, Rainer; Hauser, Helwig (The Eurographics Association, 2020)
      Set-typed data visualizations require novel interactive representations, especially when visualizing multiple set-typed data attributes. The challenge is how to effectively analyze relations between data elements from ...
    • DualNetView: Dual Views for Visualizing the Dynamics of Networks 

      Pham, Vung; Nguyen, V. T. Ngan; Dang, Tommy (The Eurographics Association, 2020)
      The force-directed layout is a popular visual method for revealing network structures, such as clusters and important vertices. However, it is not capable of representing temporal patterns, such as how clusters/communities ...
    • DYNEVI - DYnamic News Entity Visualization 

      Wanner, Franz; Schaefer, Matthias; Leitner-Fischer, Florian; Zintgraf, Fabian; Atkinson, M.; Keim, Daniel A. (The Eurographics Association, 2010)
      Dynamic news entity visualization shows an implementation of visualizing news entity data to give an overview as well as to display emerging and vanishing news topics. We present a robust and dynamic visualization system ...
    • Enhanced Attribute-Based Explanations of Multidimensional Projections 

      Driel, Daan van; Zhai, Xiaorui; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2020)
      Multidimensional projections (MPs) are established tools for exploring the structure of high-dimensional datasets to reveal groups of similar observations. For optimal usage, MPs can be augmented with mechanisms that explain ...
    • EuroVA 2016: Frontmatter 

      Natalia Andrienko; Michael Sedlmair (Eurographics Association, 2016)
    • EuroVA 2017: Frontmatter 

      Sedlmair, Michael; Tominski, Christian (Eurographics Association, 2017)
    • EuroVA 2018: Frontmatter 

      Tominski, Christian; Landesberger, Tatiana von (The Eurographics Association, 2018)
    • EuroVa 2019: Frontmatter 

      Landesberger, Tatiana; Turkay, Cagatay (The Eurographics Association, 2019)
    • EuroVa 2020: Frontmatter 

      Turkay, Cagatay; Vrotsou, Katerina (The Eurographics Association, 2020)
    • Exploration and Assessment of Event Data 

      Bodesinsky, Peter; Alsallakh, Bilal; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2015)
      Event data is generated in many domains, like business process management, industry or healthcare. These datasets are often unstructured, exhibit variant behaviour, and may contain errors. Before applying automated analysis ...
    • An Exploratory Visual Analytics Tool for Multivariate Dynamic Networks 

      Boz, Hasan Alp; Bahrami, Mohsen; Suhara, Yoshihiko; Bozkaya, Burcin; Balcisoy, Selim (The Eurographics Association, 2020)
      Visualizing multivariate dynamic networks is a challenging task. The evolution of the dynamic network within the temporal axis must be depicted in conjunction with the associated multivariate attributes. In this paper, an ...
    • Exploring Complex Mobile Life through Lightweight Visualizations 

      Kim, Tanyoung; Blom, Jan; Stasko, John (The Eurographics Association, 2011)
      Smart phones can be used to collect various types of data from a user spanning call and text message logs to GPS coordinates, and to Bluetooth detection. These data are indicative of behavior across various socio-temporalspatial ...
    • Feature Alignment for the Analysis of Verbatim Text Transcripts 

      Jentner, Wolfgang; El-Assady, Mennatallah; Gipp, Bela; Keim, Daniel A. (The Eurographics Association, 2017)
      In the research of deliberative democracy, political scientists are interested in analyzing the communication models of discussions, debates, and mediation processes with the goal of extracting reoccurring discourse patterns ...
    • Feature-Based Visual Analytics for Studying Simulations of Dynamic Bi-Stable Spatial Systems 

      Eichner, C.; Bittig, A.; Schumann, H.; Tominski, C. (The Eurographics Association, 2013)
      Simulations of dynamic bi-stable spatial systems usually generate large and complex data that are hard to evaluate. In this paper, we describe how visual analytics technology can help in analyzing such simulation data. The ...
    • Finding Arbitrary Shaped Clusters with Related Extents in Space and Time 

      Pölitz, Christian; Andrienko, Gennady; Andrienko, Natalia (The Eurographics Association, 2010)
      The paper deals with density-based clustering of events, i.e. objects positioned in space and time, such as occurrences of earthquakes, forest fires, mobile phone calls, or photos with geographical references. Finding ...
    • A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics 

      Kinkeldey, C.; Schiewe, J. (The Eurographics Association, 2011)
      Land cover change analysis serves as a basis for planning processes in a wide range of applications. For this task, the use of remote sensing data has become more popular over the last decades. However, despite much research ...
    • From Ill-defined Problems to Informed Decisions 

      Roberts, Jonathan; Keim, Daniel; Hanratty, Timothy; Rowlingson, Robert; Walker, Rick; Hall, Mark; Jackobson, Zack; Lavigne, Valerie; Rooney, Chris; Varga, Margaret (The Eurographics Association, 2014)
      Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece ...
    • Frontmatter: EuroVA 2015 EuroVis Workshop on Visual Analytics 

      Roberts, Jonathan C.; Bertini, Enrico (Eurographics Association, 2015)
    • A Generic Model for Projection Alignment Applied to Neural Network Visualization 

      Cantareira, Gabriel Dias; Paulovich, Fernando V. (The Eurographics Association, 2020)
      Dimensionality reduction techniques are popular tools for the visualization of neural network models due to their ability to display hidden layer activations and aiding the understanding of how abstract representations are ...
    • Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts 

      Federico, Paolo; Unger, Jürgen; Amor-Amorós, Albert; Sacchi, Lucia; Klimov, Denis; Miksch, Silvia (The Eurographics Association, 2015)
      The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ...