Now showing items 1-11 of 11

    • From Ill-defined Problems to Informed Decisions 

      Roberts, Jonathan; Keim, Daniel; Hanratty, Timothy; Rowlingson, Robert; Walker, Rick; Hall, Mark; Jackobson, Zack; Lavigne, Valerie; Rooney, Chris; Varga, Margaret (The Eurographics Association, 2014)
      Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece ...
    • Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces 

      Shao, Lin; Behrisch, Michael; Schreck, Tobias; Landesberger, Tatiana von; Scherer, Maximilian; Bremm, Sebastian; Keim, Daniel (The Eurographics Association, 2014)
      Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. ...
    • Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space 

      Agibetov, Asan; Vaquero, Ricardo Manuel Millan; Friese, Karl-Ingo; Patane, Giuseppe; Spagnuolo, Michela; Wolter, Franz-Erich (The Eurographics Association, 2014)
      The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects ...
    • Interactively Visualizing Summaries of Rules and Exceptions 

      Sharma, Geetika; Shroff, Gautam; Pandey, Aditeya; Agarwal, Puneet; Srinivasan, Ashwin (The Eurographics Association, 2014)
      Rules along with their exceptions have been used to explain large data sets in a comprehensible manner. In this paper we describe an interactive visualization scheme for rules and their exceptions. Our visual encoding is ...
    • 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 ...
    • Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics 

      Luboschik, Martin; Röhlig, Martin; Kundt, Günther; Stachs, Oliver; Peschel, Sabine; Zhivov, Andrey; Guthoff, Rudolf F.; Winter, Karsten; Schumann, Heidrun (The Eurographics Association, 2014)
      In this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual ...
    • Towards more Visual Analytics in Learning Analytics 

      Ritsos, Panagiotis D.; Roberts, Jonathan C. (The Eurographics Association, 2014)
      Learning Analytics is the collection, management and analysis of students' learning. It is used to enable teachers to understand how their students are progressing and for learners to ascertain how well they are performing. ...
    • A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data 

      Alsallakh, Bilal; Bögl, Markus; Gschwandtner, Theresia; Miksch, Silvia; Esmael, Bilal; Arnaout, Arghad; Thonhauser, Gerhard; Zöllner, Philipp (The Eurographics Association, 2014)
      Many natural and industrial processes such as oil well construction are composed of a sequence of recurring activities. Such processes can often be monitored via multiple sensors that record physical measurements over time. ...
    • A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications 

      Fischer, Fabian; Davey, James; Fuchs, Johannes; Thonnard, Olivier; Kohlhammer, Jörn; Keim, Daniel A. (The Eurographics Association, 2014)
      The analysis and exploration of emerging threats in the Internet is important to better understand the behaviour of attackers and develop new methods to enhance cyber security. Fully automated algorithms alone are often ...
    • Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process 

      Oliveros, Silvia; Yang, Yang; Jang, Yun; Maule, Ben; Ebert, David (The Eurographics Association, 2014)
      Risk-based decision making is a data-driven process used to gather data about outcomes, analyze different scenarios, and deliver informed decisions to mitigate risk. We describe the design and application of integrated ...
    • What's In a Name? Data Linkage, Demography and Visual Analytics 

      Wang, Feng; Ibarra, Jose; Muhammed, Adnan; Longley, Paul; Maciejewski, Ross (The Eurographics Association, 2014)
      This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States public telephone directories, link the location data ...