Now showing items 16-35 of 152

    • Data Driven Color Mapping 

      Eisemann, Martin; Albuquerque, Georgia; Magnor, Marcus (The Eurographics Association, 2011)
      In this paper we present a simple, yet effective method to map data set values of different distributions to a color map in order to reveal interesting structures. We make use of an ordering and a simple projection technique ...
    • Dataflow-based Visual Analysis for Fault Diagnosis and Predictive Maintenance in Manufacturing 

      Wörner, M.; Metzger, M.; T.Ertl, (The Eurographics Association, 2013)
      Predictive machine maintenance, which monitors the current condition of a machine, can be much more efficient than maintaining it on a strict schedule or only as a reaction to actual breakdowns. Although sophisticated ...
    • Deep Learning Inverse Multidimensional Projections 

      Espadoto, Mateus; Rodrigues, Francisco Caio Maia; Hirata, Nina S. T.; Hirata Jr., Roberto; Telea, Alexandru C. (The Eurographics Association, 2019)
      We present a new method for computing inverse projections from 2D spaces to arbitrary high-dimensional spaces. Given any projection technique, we train a deep neural network to learn a low-to-high dimensional mapping based ...
    • Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time 

      Lammarsch, Tim; Rind, Alexander; Aigner, Wolfgang; Miksch, Silvia (The Eurographics Association, 2012)
      Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of ...
    • Does Jason Bourne need Visual Analytics to catch the Jackal? 

      Bertone, Alessio; Lammarsch, Tim; Turic, Thomas; Aigner, Wolfgang; Miksch, Silvia (The Eurographics Association, 2010)
      Visual Analytics is a relatively new field which tries to combine and intertwine visual and analytical methods in an interactive manner. Because of the complex structure of time, the application of visual analytics methods ...
    • 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 ...