Now showing items 21-26 of 26

    • Visual Analytics for Fraud Detection: Focusing on Profile Analysis 

      Leite, Roger Almeida; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2016)
      Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining ...
    • Visual Data Exploration for Balance Quantification During Exergaming 

      Soancatl, Venustiano; Gronde, J. J. van de; Lamoth, C. J. C.; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      Recently, digital games controlled by real-time body movements (exergames) have been proposed as an innovative method to improve balance among older adults. One of the main challenges for exergames is to automatically ...
    • Visualization-Aware Color Design 

      Szafir, Danielle Albers; Gleicher, Michael (The Eurographics Association, 2016)
      Color encoding design currently focuses on the colors themselves: visualization designers choose sets of colors that work well in isolation. However, the effectiveness of a color encoding depends on properties of the ...
    • Visualizing Article Similarities in Wikipedia 

      Riehmann, Patrick; Potthast, Martin; Gruendl, Henning; Kiesel, Johannes; Jürges, Dean; Castiglia, Giuliano; Ter-Akopyan, Bagrat; Froehlich, Bernd (The Eurographics Association, 2016)
      In this poster we present intermediate results regarding visual text analytics on Wikipedia. We implemented a visualization providing insight about similarities among Wikipedia articles in terms of structure as well as ...
    • Volume Rendering Using Principal Component Analysis 

      Alakkari, Salaheddin; Dingliana, John (The Eurographics Association, 2016)
      We investigate the use of Principal Component Analysis (PCA) for image-based volume rendering. We compute an eigenspace using training images, pre-rendered using a standard raycaster, from a spherically distributed range ...
    • When Individual Data Points Matter: Interactively Analysing Classification Landscapes 

      Schneider, Bruno; Mittelstädt, Sebastian; Keim, Daniel A. (The Eurographics Association, 2016)
      The selection of classification models among several options with similar accuracy cannot be done through purely automated methods, and especially in scenarios in which the cost of misclassified instances is crucial, such ...