• 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 ...

• Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server 

  Andrews, Keith; Traunmüller, Thomas; Wolkinger, Thomas; Goldgruber, Eva; Gutounig, Robert; Ausserhofer, Julian (The Eurographics Association, 2016)

  Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, ...

• TaCo: Comparative Visualization of Large Tabular Data 

  Hourieh, Reem; Stitz, Holger; Gehlenborg, Nils; Streit, Marc (The Eurographics Association, 2016)

  Tabular data plays a vital role in many different domains. In the course of a project, changes to the structure and content of tables can result in multiple instances of a table. A challenging task when working with such ...

• 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 ...

• Understanding Networks beyond Overlapping Clusters 

  Guchev, Vladimir; Angelini, S.; Amati, G. (The Eurographics Association, 2016)

  Tasks associated with the investigation of large complex clustered networks are widespread in various research areas. Among the popular and common approaches to exploratory analysis, it is definitely worthwhile to underscore ...

• Tracking Space-Filling Features by Two-Step Optimization 

  Schnorr, Andrea; Freitag, Sebastian; Kuhlen, Torsten W.; Hentschel, Bernd (The Eurographics Association, 2016)

  We present a novel approach for tracking space-filling features, i.e., a set of features covering the entire domain. The assignment between successive time steps is determined by a two-step, global optimization scheme. ...

• 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 ...

• Towards Combining Attribute-based and Time Series-based Visual Querying 

  Sessler, David; Spott, Martin; Nauck, Detlef; Harmer, William; Kohlhammer, Jörn; Bernard, Jürgen (The Eurographics Association, 2016)

  We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, ...

• Large-scale Argument Visualization (LSAV) 

  Khartabil, Dana; Wells, S.; Kennedy, Jessie (The Eurographics Association, 2016)

  Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. ...

• Features vs Prototypes: Amplifying Cognition with Common Data Graphics 

  Migut, M. A.; Worring, M. (The Eurographics Association, 2016)

  The most common and important data visualizations, such as barcharts or scatterplots are typically feature-based. In this paper we question whether feature-based representations are favorable from the cognition point of ...

• InVITe - Towards Intuitive Visualization of Iterations over Text 

  Lamqaddam, Houda; Aerts, Jan (The Eurographics Association, 2016)

  With InVITe, we are working towards intuitive visualization to support review of iterative modifications on text documents. In order to accomplish this, we perform simple matching of text snippets between the two versions ...

• Geometry-Aware Visualization of Performance Data 

  Vierjahn, Tom; Hentschel, Bernd; Kuhlen, Torsten W. (The Eurographics Association, 2016)

  Phenomena in the performance behaviour of high-performance computing (HPC) applications can stem from the HPC system itself, from the application's code, but also from the simulation domain. In order to analyse the latter ...

• Interactive Exploration of Student Generated Content presented in Blogs 

  Jusufi, Ilir; Milrad, Marcelo; Legaspi, Xurxo (The Eurographics Association, 2016)

  Nowadays blogs are regarded as tools for communication as well as an important source for spreading information in almost every subject. In recent years, school teachers have started to take advantage of this technology ...

• 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 ...

• Query by Visual Words: Visual Search for Scatter Plot Visualizations 

  Shao, Lin; Schleicher, Timo; Schreck, Tobias (The Eurographics Association, 2016)

  Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail ...

• Visual Analysis of Text Annotations for Stance Classification with ALVA 

  Kucher, Kostiantyn; Kerren, Andreas; Paradis, Carita; Sahlgren, Magnus (The Eurographics Association, 2016)

  The automatic detection and classification of stance taking in text data using natural language processing and machine learning methods create an opportunity to gain insight about the writers' feelings and attitudes towards ...

• Transfer Function Optimization Based on a Combined Model of Visibility and Saliency 

  Luo, Shengzhou; Dingliana, John (The Eurographics Association, 2016)

  We present an automated technique to optimize the clarity of features in visualizations of 3D volume datasets. By adjusting the opacity transfer function, we achieve user-specified target distributions of feature conspicuity. ...

• Tracking and Visualizing Dynamic Structures in Multichannel EEG Coherence Networks 

  Ji, Chengtao; Gronde, J. J. van de; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)

  An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of ...

• Coloring Interactive Compositional Dot Maps 

  Tennekes, Martijn; Jonge, Edwin de (The Eurographics Association, 2016)

  We propose an algorithmic color scheme for zoom-able compositional dot maps. Contrary to existing methods, it uses density, composition, and zoom level to color the pixels of the resulting dot map. We describe the method ...

• 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 ...

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