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  • A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways 

    Wu, Hsiang-Yun; Nöllenburg, Martin; Viola, Ivan (The Eurographics Association, 2018)
    This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the ...
  • Towards Natural Language Empowered Interactive Data Analysis 

    Turkay, Cagatay; Henkin, Rafael (The Eurographics Association, 2018)
    The recent advances in natural language based interaction methodologies offer promising avenues to enhance the interactive processes within the human-machine dialogue of visual analytics. We envisage Multimodal Data Analytics ...
  • Visual Analysis of Sentiment and Stance in Social Media Texts 

    Kucher, Kostiantyn; Paradis, Carita; Kerren, Andreas (The Eurographics Association, 2018)
    Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated ...
  • The Impact of Visualizing Uncertainty on Train Trip Selection 

    Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von (The Eurographics Association, 2018)
    Train trip planning means deciding on one of several travel connections. Possible train delays lead to uncertainties in the schedule connections and may influence the planning decisions. Although several designs for the ...
  • Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data 

    Bögl, Markus; Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
    The segmenting and labeling of multivariate time series data is applied in different domains, e.g. activity recognition or sensor states. This involves several steps of (pre-) processing, segmenting, and labeling of time ...
  • Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations 

    Eichner, Christian; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2018)
    Parameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we ...
  • Exploring Uncertainty in Image Segmentation Ensembles 

    Fröhler, Bernhard; Möller, Torsten; Weissenböck, Johannes; Hege, Hans-Christian; Kastner, Johann; Heinzl, Christoph (The Eurographics Association, 2018)
    Finding the most accurate image segmentation involves analyzing results from different algorithms or parameterizations. In this work, we identify different types of uncertainty in this analysis that are represented by the ...
  • ViMEC: Interactive Application for Micro-Cluster Visualizations 

    Schmidt, Florian; Ehrenfeld, Yannick (The Eurographics Association, 2018)
    Digitalization increases the opportunity to collect vast amounts of data in a large scale manner. In order to handle the information overload, data mining techniques like online clustering are performed. A lot of online ...
  • Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling 

    Saga, Ryosuke (The Eurographics Association, 2018)
    This paper describes an analysis of the relationship between human cognition and quantitative measures for a visualization method called edge bundling.Aesthetic rules-based measures, namely, mean edge length difference ...
  • Network Analysis for Financial Fraud Detection 

    Leite, Roger A.; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2018)
    Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial ...
  • An Eye-Tracking Study on Sparklines within Textual Context 

    Ruchikachorn, Puripant; Rattanawicha, Pimmanee (The Eurographics Association, 2018)
    Sparklines are placed in documents but their usability is rarely evaluated in their immediate context of paragraphs of text. We conducted an eye-tracking study to measure readability and understandability of four different ...
  • Case Studies of Shareable Personal Map Visualization 

    Ruchikachorn, Puripant (The Eurographics Association, 2018)
    This paper presents two examples of personal data visualizations to be shared among peers. The visualized and shared data were travel destinations in Thailand and daily commutes in Bangkok, Thailand. The former gathered ...
  • Visually Exploring Data Provenance and Quality of Open Data 

    Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
    While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
  • Extending Document Exploration with Image Retrieval: Concept and First Results 

    Shao, Lin; Glatz, Mathias; Gergely, Eric; Müller, Markus; Munter, Denis; Papst, Stefan; Schreck, Tobias (The Eurographics Association, 2018)
    Information retrieval provides to date effective methods to search for documents relevant to user queries, and to support exploration of clusters of similar documents. Typically, the retrieval relies on text-based queries ...
  • CV3: Visual Exploration, Assessment, and Comparison of CVs 

    Filipov, Velitchko Andreev; Federico, Paolo; Miksch, Silvia (The Eurographics Association, 2018)
    Curriculum Vitae (CV) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatial, temporal, nominal, and ordinal data. Commonly, ...
  • EuroVis 2018 Posters: Frontmatter 

    Puig, Anna; Raidou, Renata Georgia (The Eurographics Association, 2018)
  • Tangible Visual Analysis: Brushing in a Mixed-Reality Environment 

    Gracanin, Denis; Tasooji, Reza; Handosa, Mohamed; Matkovic, Kresimir; Waldner, Manuela (The Eurographics Association, 2017)
    Exploratory visual analysis helps scientists and domain experts gain insight into complex data sets. Tangible visual analysis can be used to bring interactive data exploration to non-expert users, such as visitors in science ...
  • A High-Dimensional Data Quality Metric using Pareto Optimality 

    Post, Tobias; Wischgoll, Thomas; Hamann, Bernd; Hagen, Hans (The Eurographics Association, 2017)
    The representation of data quality within established high-dimensional data visualization techniques such as scatterplots and parallel coordinates is still an open problem. This work offers a scale-invariant measure based ...
  • Visualising Data with L2 

    McNeill, Graham (The Eurographics Association, 2017)
    L2 is a new compile-to-JavaScript language for data wrangling, analysis and visualisation. The language is used in its own interactive environment (desktop or browser-based); compiled code will run in any browser or Node.js. ...
  • Visual Analysis of Geolocated Echo Chambers in Social Media 

    Hundt, Michael; Schneider, Bruno; El-Assady, Mennatallah; Keim, Daniel A.; Diehl, Alexandra (The Eurographics Association, 2017)
    In news media, echo chambers refer to situations in which information is amplified or reinforced by communication and repetition. The characteristic of an echo chamber is, therefore, the absence of controversial discussions ...

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