Now showing items 1-12 of 12

    • Visualization of Latin Textual Variants using a Pixel-Based Text Analysis Tool 

      Asokarajan, Bharathi; Etemadpour, Ronak; Abbas, June; Huskey, Sam; Weaver, Chris (The Eurographics Association, 2016)
      One of the most important activities of Latin scholars is to analyze fragmentary copies of a Classical text and assemble an annotated reconstruction as a conjecture about its original form. We have developed a pixel-based ...
    • Patent Retrieval: A Multi-Modal Visual Analytics Approach 

      Seebacher, Daniel; Stein, Manuel; Janetzko, Halldór; Keim, Daniel A. (The Eurographics Association, 2016)
      Claiming intellectual property for an invention by patents is a common way to protect ideas and technological advancements. However, patents allow only the protection of new ideas. Assessing the novelty of filed patent ...
    • Multigraph Visualization for Feature Classification of Brain Network Data 

      Wang, Jiachen; Fang, Shiaofen; Li, Huang; Goñi, Joaquín; Saykin, Andrew J.; Shen, Li (The Eurographics Association, 2016)
      A Multigraph is a set of graphs with a common set of nodes but different sets of edges. Multigraph visualization has not received much attention so far. In this paper, we introduce a multigraph application in brain network ...
    • A Visual Analytics System for Mobile Telecommunication Marketing Analysis 

      Angelini, Marco; Corriero, Rocco; Franceschi, Fabrizio; Geymonat, Marina; Mirabelli, Mario; Remondino, Chiara; Santucci, Giuseppe; Stabellini, Barbara (The Eurographics Association, 2016)
      The Mobile Operators European market is likely one of the most competitive arenas, and even big telecommunication companies are continuously tuning their marketing strategies to contrast the aggressive campaigns of old and ...
    • EuroVA 2016: Frontmatter 

      Natalia Andrienko; Michael Sedlmair (Eurographics Association, 2016)
    • Visual-Interactive Segmentation of Multivariate Time Series 

      Bernard, Jürgen; Dobermann, Eduard; Bögl, Markus; Röhlig, Martin; Vögele, Anna; Kohlhammer, Jörn (The Eurographics Association, 2016)
      Choosing appropriate time series segmentation algorithms and relevant parameter values is a challenging problem. In order to choose meaningful candidates it is important that different segmentation results are comparable. ...
    • Visual Analytics in Process Mining: Classification of Process Mining Techniques 

      Kriglstein, Simone; Pohl, Margit; Rinderle-Ma, Stefanie; Stallinger, Magdalena (The Eurographics Association, 2016)
      The increasing interest from industry and academia has driven the development of process mining techniques over the last years. Since the process mining entails a strong explorative perspective, the combination of process ...
    • Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges 

      Köthur, Patrick; Eggert, Daniel; Schenk, Andreas; Sips, Mike (The Eurographics Association, 2016)
      In this paper, we introduce persistent scatterer interferometry (PSI) as a new and promising application domain for Visual Analytics (VA). PSI studies changes of the Earth's topography by analyzing large time-varying point ...
    • An Art-based Approach to Visual Analytics 

      Sehgal, Gunjan; Sharma, Geetika (The Eurographics Association, 2016)
      In this paper, we propose an art-based approach to visual analytics.We argue that while artistic data visualizations have mainly been designed to communicate the artist's message, certain artistic styles can be very effective ...
    • Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data 

      Bernard, Jürgen; Sessler, David; Steiger, Martin; Spott, Martin; Kohlhammer, Jörn (The Eurographics Association, 2016)
      The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...
    • Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management 

      Jäger, Alexander; Mittelstädt, Sebastian; Oelke, Daniela; Sander, Sonja; Platz, Axel; Bouwman, Gies; Keim, Daniel A. (The Eurographics Association, 2016)
      Outage management in electrical networks is a complex task for operators and requires comprehensive overviews of the topology. At the same time valuable information for detecting the root cause may have geographical context ...
    • MultiLayerMatrix: Visualizing Large Taxonomic Datasets 

      Dang, Tuan Nhon; Cui, Hong; Forbes, Angus G. (The Eurographics Association, 2016)
      Adjacency matrices can be a useful way to visualize dense networks. However, they do not scale well as the network size increases due to limited screen space, especially when the number of rows and columns exceeds the pixel ...