Now showing items 97-116 of 190

    • 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 Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute 

      Bernstetter, Armin; Kwasnitschka, Tom; Peters, Isabella (The Eurographics Association, 2023)
      Reproducibility - and the lack thereof - has been an important topic for some time in the field of Human-Computer Interaction. Visual analytics workflows and in extension immersive analytics workflows are no exception there ...
    • Progressive Parameter Space Visualization for Task-Driven SAX Configuration 

      Loeschcke, Sebastian; Hogräfer, Marius; Schulz, Hans-Jörg (The Eurographics Association, 2020)
      As time series datasets are growing in size, data reduction approaches like PAA and SAX are used to keep them storable and analyzable. Yet, finding the right trade-off between data reduction and remaining utility of the ...
    • Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data 

      Fernstad, Sara Johansson; Macquisten, Alexander; Berrington, Janet; Embleton, Nicholas; Stewart, Christopher (The Eurographics Association, 2020)
      Studies of genome sequenced data are increasingly common in many domains. Technological advances enable detection of hundreds of thousands of biological entities in samples, resulting in extremely high dimensional data. ...
    • Quantifying Uncertainty in Multivariate Time Series Pre-Processing 

      Bors, Christian; Bernard, Jürgen; Bögl, Markus; Gschwandtner, Theresia; Kohlhammer, Jörn; Miksch, Silvia (The Eurographics Association, 2019)
      In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...
    • RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings 

      Schmid, Jenny; Cibulski, Lena; Hazwani, Ibrahim Al; Bernard, Jürgen (The Eurographics Association, 2022)
      Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require ...
    • Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters 

      Koh, Elliot; Blumenschein, Michael; Shao, Lin; Schreck, Tobias (The Eurographics Association, 2022)
      Visualizing high-dimensional (HD) data is a key challenge for data scientists. The importance of this challenge is to properly map data properties, e.g., patterns, outliers, and correlations, from a HD data space onto a ...
    • Retrospective Analysis of Surveillance Data: A Case Study for Road Tunnels 

      Piringer, H.; Buchetics, M. (The Eurographics Association, 2013)
      The surveillance of a particular infrastructure is a multi-faceted activity. In addition to tasks which must be performed in real-time, a retrospective analysis of surveillance data is of equal importance for ensuring the ...
    • Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff 

      Sisneros, Robert; Fullop, Joshi; Semeraro, B. David; Bauer, Greg (The Eurographics Association, 2014)
      Beyond raw computational power, a supercomputer offers the capability of generating and logging a significant amount of diagnostic data. While adding to the burden of maintenance, this data nevertheless represents compelling ...
    • Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters 

      Weixelbaum, Wilma; Matkovic, Kresimir (The Eurographics Association, 2021)
      In the last decade, the popularity of ESports has grown rapidly. The financial leader in the tournament scene is Dota2, a complex and strategic multiplayer game. Analysis and exploration of game data could lead to better ...
    • Scalable Cluster Analysis of Spatial Events 

      Peca, Iulian; Fuchs, Georg; Vrotsou, Katerina; Andrienko, Natalia; Andrienko, Gennady (The Eurographics Association, 2012)
      Clustering of massive data is an important analysis tool but also challenging since the data often does not fit in RAM. Many clustering algorithms are thus severely memory-bound. This paper proposes a deterministic density ...
    • Scaling Up the Explanation of Multidimensional Projections 

      Thijssen, Julian; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2023)
      We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having ...
    • ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions 

      Haedecke, Elena; Mock, Michael; Akila, Maram (The Eurographics Association, 2022)
      We present ScrutinAI, a Visual Analytics approach to exploit semantic understanding for deep neural network (DNN) predictions analysis, focusing on models for object detection and semantic segmentation. Typical fields of ...
    • Sensemaking in Visual Analytics: Processes and Challenges 

      Attfield, Simon J.; Hara, Sukhvinder K.; Wong, B. L. William (The Eurographics Association, 2010)
      Since Visual Analytic systems support human sensemaking it is essential that such systems are designed with characteristics of this process in mind. Drawing on our previous work with lawyers and reports from experienced ...
    • SepEx: Visual Analysis of Class Separation Measures 

      Bernard, Jürgen; Hutter, Marco; Zeppelzauer, Matthias; Sedlmair, Michael; Munzner, Tamara (The Eurographics Association, 2020)
      Class separation is an important concept in machine learning and visual analytics. However, the comparison of class separation for datasets with varying dimensionality is non-trivial, given a) the various possible structural ...
    • 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 ...
    • ShaRP: Shape-Regularized Multidimensional Projections 

      Machado, Alister; Telea, Alexandru; Behrisch, Michael (The Eurographics Association, 2023)
      Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a ...
    • Smart Query Definition for Content-Based Search in Large Sets of Graphs 

      Landesberger, Tatiana von; Bremm, Sebastian; Bernard, Jürgen; Schreck, Tobias (The Eurographics Association, 2010)
      Graphs are used in various application areas such as chemical, social or shareholder network analysis. Finding relevant graphs in large graph databases is thereby an important problem. Such search starts with the definition ...
    • SmartStripes - Looking under the Hood of Feature Subset Selection Methods 

      May, T.; Davey, J.; Ruppert, T. (The Eurographics Association, 2011)
      We propose a visualization method for the diagnosis and interactive refinement of automatic techniques for feature subset selection. So-called filter techniques use statistical ranking measures to identify the most useful ...
    • SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations 

      Buchmüller, Juri F.; Schlegel, Udo; Cakmak, Eren; Keim, Daniel A.; Dimara, Evanthia (The Eurographics Association, 2020)
      Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. ...