EuroVA16

 

Groningen, the Netherlands, 6-10 June 2016

Table of Contents
Best Paper
Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management
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Alexander Jäger, Sebastian Mittelstädt, Daniela Oelke, Sonja Sander, Axel Platz, Gies Bouwman, and Daniel A. Keim
Multivariate Data Analysis
A Visual Analytics System for Mobile Telecommunication Marketing Analysis
[full paper Image] [meta data Image]
Marco Angelini, Rocco Corriero, Fabrizio Franceschi, Marina Geymonat, Mario Mirabelli, Chiara Remondino, Giuseppe Santucci, and Barbara Stabellini
Patent Retrieval: A Multi-Modal Visual Analytics Approach
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Daniel Seebacher, Manuel Stein, Halldór Janetzko, and Daniel A. Keim
Visualization of Latin Textual Variants using a Pixel-Based Text Analysis Tool
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Bharathi Asokarajan, Ronak Etemadpour, June Abbas, Sam Huskey, and Chris Weaver
An Art-based Approach to Visual Analytics
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Gunjan Sehgal and Geetika Sharma
Temporal Data Analysis
Visual-Interactive Segmentation of Multivariate Time Series
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Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, and Jörn Kohlhammer
Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges
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Patrick Köthur, Daniel Eggert, Andreas Schenk, and Mike Sips
Visual Analytics in Process Mining: Classification of Process Mining Techniques
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Simone Kriglstein, Margit Pohl, Stefanie Rinderle-Ma, and Magdalena Stallinger
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
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Jürgen Bernard, David Sessler, Martin Steiger, Martin Spott, and Jörn Kohlhammer
Networks
MultiLayerMatrix: Visualizing Large Taxonomic Datasets
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Tuan Nhon Dang, Hong Cui, and Angus G. Forbes
Multigraph Visualization for Feature Classification of Brain Network Data
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Jiachen Wang, Shiaofen Fang, Huang Li, Joaquín Goñi, Andrew J. Saykin, and Li Shen

Recent Submissions

  • 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 ...

  • 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. ...

  • 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 ...

  • 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 ...

  • 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 ...

  • 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 ...

  • 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 ...

  • EuroVA 2016: Frontmatter 

    Natalia Andrienko; Michael Sedlmair (Eurographics Association, 2016)