Now showing items 1-12 of 12

    • Personalized Visual-Interactive Music Classification 

      Ritter, Christian; Altenhofen, Christian; Zeppelzauer, Matthias; Kuijper, Arjan; Schreck, Tobias; Bernard, Jürgen (The Eurographics Association, 2018)
      We present an interactive visual music classification tool that will allow users to automatically structure music collections in a personalized way. With our approach, users play an active role in an iterative process of ...
    • Towards Visual Cyber Security Analytics for the Masses 

      Ulmer, Alex; Schufrin, Marija; Lücke-Tieke, Hendrik; Kannanayikkal, Clindo Devassy; Kohlhammer, Jörn (The Eurographics Association, 2018)
      Understanding network activity and cyber threats is of major concern these days, for business and private users alike. As more and more online applications assist us in our daily life, there is a growing potential vulnerability ...
    • Visual Predictive Analytics using iFuseML 

      Sehgal, Gunjan; Rawat, Mrinal; Gupta, Bindu; Gupta, Garima; Sharma, Geetika; Shroff, Gautam (The Eurographics Association, 2018)
      Solving a predictive analytics problem involves multiple machine learning tasks in a workflow. Directing such workflows efficiently requires an understanding of data so as to identify and handle missing values and outliers, ...
    • Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series 

      Bernard, Jürgen; Bors, Christian; Bögl, Markus; Eichner, Christian; Gschwandtner, Theresia; Miksch, Silvia; Schumann, Heidrun; Kohlhammer, Jörn (The Eurographics Association, 2018)
      For the automatic segmentation of multivariate time series domain experts at first need to consider a huge space of alternative configurations of algorithms and parameters. We assume that only a small subset of these ...
    • A Visual Analytics System for Managing Mobile Network Failures 

      Angelini, Marco; Bardone, Luca; Geymonat, Marina; Mirabelli, Mario; Remondino, Chiara; Santucci, Giuseppe; Stabellini, Barbara; Tamborrini, Paolo (The Eurographics Association, 2018)
      Large mobile operators have to quickly react to mobile network failures to ensure service continuity and this task is a complex one, due to the continuous and very fast evolution of mobile networks: from 2G to 3G and onto ...
    • Guidance or No Guidance? A Decision Tree Can Help 

      Ceneda, Davide; Gschwandtner, Theresia; May, Thorsten; Miksch, Silvia; Streit, Marc; Tominski, Christian (The Eurographics Association, 2018)
      Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
    • polimaps: Supporting Predictive Policing with Visual Analytics 

      Stoffel, Florian; Post, Hanna; Stewen, Marcus; Keim, Daniel A. (The Eurographics Association, 2018)
      Recently, predictive policing has gained a lot of attention, as the benefits, e.g., better crime prevention or an optimized resource planning are essential goals for law enforcement agencies. Commercial predictive policing ...
    • EuroVA 2018: Frontmatter 

      Tominski, Christian; Landesberger, Tatiana von (The Eurographics Association, 2018)
    • A Set-based Visual Analytics Approach to Analyze Retail Data 

      Adnan, Muhammad; Ruddle, Roy A. (The Eurographics Association, 2018)
      This paper explores how a set-based visual analytics approach could be useful for analyzing customers' shopping behavior, and makes three main contributions. First, it describes the scale and characteristics of a real-world ...
    • ComModeler: Topic Modeling Using Community Detection 

      Dang, Tommy; Nguyen, Vinh The (The Eurographics Association, 2018)
      This paper introduces ComModeler, a novel approach for topic modeling using community finding in dynamic networks. Our algorithm first extracts the terms/keywords, formulates a network of collocated terms, then refines the ...
    • Visual Exploration of Spatial and Temporal Variations of Tweet Topic Popularity 

      Li, Jie; Chen, Siming; Andrienko, Gennady; Andrienko, Natalia (The Eurographics Association, 2018)
      We present a visual analytical approach to exploring variation of topic popularity in social media (such as Twitter) over space and time. Our approach includes an analytical pipeline and a multi-view visualization tool. ...
    • A Concept for Consensus-based Ordering of Views 

      Jentner, Wolfgang; Jäckle, Dominik; Engelke, Ulrich; Keim, Daniel A.; Schreck, Tobias (The Eurographics Association, 2018)
      High-dimensional data poses a significant challenge for analysis, as patterns typically exist only in subsets of dimensions or records. A common approach to reveal patterns, such as meaningful structures or relationships, ...