EuroVA: International Workshop on Visual Analytics: Recent submissions

Now showing items 81-100 of 190

    • EuroVA 2018: Frontmatter 

      Tominski, Christian; Landesberger, Tatiana von (The Eurographics Association, 2018)

    • 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 ...

    • Combining Cluster and Outlier Analysis with Visual Analytics 

      Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. (The Eurographics Association, 2017)
      Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...

    • How Sensemaking Tools Influence Display Space Usage 

      Geymayer, Thomas; Waldner, Manuela; Lex, Alexander; Schmalstieg, Dieter (The Eurographics Association, 2017)
      We explore how the availability of a sensemaking tool influences users' knowledge externalization strategies. On a large display, users were asked to solve an intelligence analysis task with or without a bidirectionally ...

    • Guidance for Multi-Type Entity Graphs from Text Collections 

      Müller, Martin; Ballweg, Kathrin; Landesberger, Tatiana von; Yimam, Seid; Fahrer, Uli; Biemann, Chris; Rosenbach, Marcel; Regneri, Michaela; Ulrich, H. (The Eurographics Association, 2017)
      The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may ...

    • EuroVA 2017: Frontmatter 

      Sedlmair, Michael; Tominski, Christian (Eurographics Association, 2017)

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...