Brno, Czech Republic 4 June 2018


Analytics and Guidance
ComModeler: Topic Modeling Using Community Detection
Tommy Dang and Vinh The Nguyen
Visual Exploration of Spatial and Temporal Variations of Tweet Topic Popularity
Jie Li, Siming Chen, Gennady Andrienko, and Natalia Andrienko
Visual Predictive Analytics using iFuseML
Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, and Gautam Shroff
Guidance or No Guidance? A Decision Tree Can Help
Davide Ceneda, Theresia Gschwandtner, Thorsten May, Silvia Miksch, Marc Streit, and Christian Tominski
Applications
A Visual Analytics System for Managing Mobile Network Failures
Marco Angelini, Luca Bardone, Marina Geymonat, Mario Mirabelli, Chiara Remondino, Giuseppe Santucci, Barbara Stabellini, and Paolo Tamborrini
Personalized Visual-Interactive Music Classification
Christian Ritter, Christian Altenhofen, Matthias Zeppelzauer, Arjan Kuijper, Tobias Schreck, and Jürgen Bernard
A Set-based Visual Analytics Approach to Analyze Retail Data
Muhammad Adnan and Roy A. Ruddle
polimaps: Supporting Predictive Policing with Visual Analytics
Florian Stoffel, Hanna Post, Marcus Stewen, and Daniel A. Keim
Work-in-Progress
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
Jürgen Bernard, Christian Bors, Markus Bögl, Christian Eichner, Theresia Gschwandtner, Silvia Miksch, Heidrun Schumann, and Jörn Kohlhammer
Towards Visual Cyber Security Analytics for the Masses
Alex Ulmer, Marija Schufrin, Hendrik Lücke-Tieke, Clindo Devassy Kannanayikkal, and Jörn Kohlhammer
A Concept for Consensus-based Ordering of Views
Wolfgang Jentner, Dominik Jäckle, Ulrich Engelke, Daniel A. Keim, and Tobias Schreck

Recent Submissions

  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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, ...
  • 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 ...
  • EuroVA 2018: Frontmatter 

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