Now showing items 1141-1160 of 2371

    • Hypenet: Visualizing Dynamic Hypergraphs 

      Valdivia, Paola; Buono, Paolo; Fekete, Jean-Daniel (The Eurographics Association, 2017)
      We present Hypenet, a novel technique to visualize dynamic hypergraphs. Such structures can model multiple types of data, such as computer networks with multiple destination addresses (multicast) or co-authorship networks ...
    • Visualization of the Forever 27 Club 

      Naik, Suchismita (The Eurographics Association, 2017)
      This visualization is the timeline of the popular musicians who died at the age of 27, often as a result of drug and alcohol abuse, violent means such as suicide or homicide. The timeline is distributed according to the ...
    • BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network 

      Kinkeldey, Christoph; Fekete, Jean-Daniel; Isenberg, Petra (The Eurographics Association, 2017)
      BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network. Bitcoin is the largest digital pseudo-currency worldwide and its study is of increasing interest and ...
    • Visualization Taxonomy based on the Specification of User's Goal and Data Dimensions 

      Kaur, Pawandeep; König-Ries, Birgitta (The Eurographics Association, 2017)
      In this paper we present a visual task taxonomy based on user goals derived via our extensive study, different data dimensions, and available visualization types. This taxonomy will be used in the creation of a visualization ...
    • Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout 

      Moses, Ricarda; Humayoun, Shah Rukh; AlTarawneh, Ragaad; Ebert, Achim (The Eurographics Association, 2017)
      Understanding cognitive processes during the interaction with visualizations, specifically limitations of working memory, opens a new perspective on evaluations and encourages a more user-centric design approach. In a user ...
    • Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data 

      Khan, Amin M.; Gonçalves, Daniel; Leão, Duarte C. (The Eurographics Association, 2017)
      Big data poses new challenges and the need for flexible, interactive, and dynamic visualization techniques. Existing approaches, especially in enterprise data visualization with static graphics or interactive dashboards, ...
    • Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering 

      Kim, Duksu (The Eurographics Association, 2017)
      We propose a novel memory efficient parallel ray casting algorithm for unstructured grid. To reduce the high memory consumption of a previous work (i.e. Bunyk), we use a small size of local buffer for each thread to keep ...
    • Diggersdiaries: Using Text Analysis to Support Exploration and Reading in a Large Document Collection 

      Vilaplana, Jaume Nualart; Pérez-Montoro, Mario (The Eurographics Association, 2017)
      This work introduces Diggersdiaries, an web interface to a historical textual document collection. Digital collections are rich in content, but traditional search-based and faceted-based interfaces cannot represent their ...
    • Structuring and Visualizing Knowledge in Soil Science 

      Stößel, Bastian; Rabot, Eva; Richter, Felix; Weller, Ulrich; Vogel, Hans-Jörg (The Eurographics Association, 2017)
      Soil is a highly complex system. Myriads of articles are published each year on soil processes and properties, interactions between them and management practices influencing them. But, because of the sheer mass of information ...
    • EuroVis 2017 - Posters: Frontmatter 

      Puig Puig, Anna; Isenberg, Tobias (Eurographics Association, 2017)
    • A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis 

      Nguyen, Phong H.; Turkay, Cagatay; Andrienko, Gennady; Andrienko, Natalia; Thonnard, Olivier (The Eurographics Association, 2017)
      Analysis of action sequence data provides new opportunities to understand and model user behaviour. Such data are often in the form of timestamped and labelled series of atomic user actions. Cyber security is one of the ...
    • A Unified Process for Visual-Interactive Labeling 

      Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang (The Eurographics Association, 2017)
      Assigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the ...
    • Visual Analysis of Geo-spatial Data in 3D Terrain Environments using Focus+Context 

      Richter, Christian; Dübel, Steve; Schumann, Heidrun (The Eurographics Association, 2017)
      Visual analysis of geo-spatial data represented within a three-dimensional frame of reference is a challenging task. Focus+ Context is a common concept that aids this process. This paper addresses the question, how ...
    • Visual Analytics for Multitemporal Aerial Image Georeferencing 

      Amor-Amorós, Albert; Federico, Paolo; Miksch, Silvia; Zambanini, Sebastian; Brenner, Simon; Sablatnig, Robert (The Eurographics Association, 2017)
      Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
    • Visual Comparative Case Analytics 

      Sacha, Dominik; Jentner, Wolfgang; Zhang, Leishi; Stoffel, Florian; Ellis, Geoffrey (The Eurographics Association, 2017)
      Criminal Intelligence Analysis (CIA) faces a challenging task in handling high-dimensional data that needs to be investigated with complex analytical processes. State-of-the-art crime analysis tools do not fully support ...
    • Subpopulation Discovery and Validation in Epidemiological Data 

      Alemzadeh, Shiva; Hielscher, Tommy; Niemann, Uli; Cibulski, Lena; Ittermann, Till; Völzke, Henry; Spiliopoulou, Myra; Preim, Bernhard (The Eurographics Association, 2017)
      Motivated by identifying subpopulations that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data, we used subspace clustering to discover such subpopulations. ...
    • Visual Analysis of Optical Coherence Tomography Data in Ophthalmology 

      Röhlig, Martin; Rosenthal, Paul; Schmidt, Christoph; Schumann, Heidrun; Stachs, Oliver (The Eurographics Association, 2017)
      Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina and thus, plays a fundamental role in detecting a wide range of ocular diseases. Despite OCT's diagnostic value, managing ...
    • PipeVis: Interactive Visual Exploration of Pipeline Incident Data 

      Sahaf, Zahra; Marbouti, Mahshid; Mota, Roberta Cabral; Alemasoom, Haleh; Maurer, Frank; Sousa, Mario Costa (The Eurographics Association, 2017)
      The fatal hazards associated with pipeline incidents as well as their frequent occurrence motivate pipeline analysts to learn from historical events and to use that information to prevent future ones by taking proper action. ...
    • Visual Analytics for Information Retrieval Evaluation Campaigns 

      Angelini, Marco; Ferro, Nicola; Santucci, Giuseppe; Silvello, Gianmaria (The Eurographics Association, 2017)
      Information Retrieval (IR) has been deeply rooted in experimentation since its inception, allowing researchers and developers to understand the behavior and interactions within increasingly complex IR systems, such as web ...
    • 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 ...