Now showing items 1-8 of 8

    • Dataflow-based Visual Analysis for Fault Diagnosis and Predictive Maintenance in Manufacturing 

      Wörner, M.; Metzger, M.; T.Ertl, (The Eurographics Association, 2013)
      Predictive machine maintenance, which monitors the current condition of a machine, can be much more efficient than maintaining it on a strict schedule or only as a reaction to actual breakdowns. Although sophisticated ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Subpopulation Discovery and Validation in Epidemiological Data 

      Alemzadeh, Shiva; Hielscher, Tommy; Niemann, Uli; Cibulski, Lena; Ittermann, Till; Völzke, Henry; Spiliopoulou, Myra; Preim, Bernhard (The Eurographics Association, 2017)
      Motivated by identifying subpopulations that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data, we used subspace clustering to discover such subpopulations. ...
    • 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 ...
    • SurviVIS: Visual Analytics for Interactive Survival Analysis 

      Corvò, Alberto; Garcia Caballero, Humberto; Westenberg, Michel (The Eurographics Association, 2019)
      The increasing quantity of data in biomedical informatics is leading towards better patient profiling and personalized medicine. Lab tests, medical images, and clinical data represent extraordinary sources for patient ...
    • Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges 

      Köthur, Patrick; Eggert, Daniel; Schenk, Andreas; Sips, Mike (The Eurographics Association, 2016)
      In this paper, we introduce persistent scatterer interferometry (PSI) as a new and promising application domain for Visual Analytics (VA). PSI studies changes of the Earth's topography by analyzing large time-varying point ...