Dynamic Visual Analytics—Facing the Real-Time Challenge

  • Florian Mansmann
  • Fabian Fischer
  • Daniel A. Keim


Modern communication infrastructures enable more and more information to be available in real-time. While this has proven to be useful for very targeted pieces of information, the human capability to process larger quantities of mostly textual information is definitely limited. Dynamic visual analytics has the potential to circumvent this real-time information overload by combining incremental analysis algorithms and visualizations to facilitate data stream analysis and provide situational awareness. In this book chapter we will thus define dynamic visual analytics, discuss its key requirements and present a pipeline focusing on the integration of human analysts in real-time applications. To validate this pipeline, we will demonstrate its applicability in a real-time monitoring scenario of server logs.


Visual analytics Real-time analysis Dynamic visualization Data streams 


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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Florian Mansmann
    • 1
  • Fabian Fischer
    • 1
  • Daniel A. Keim
    • 1
  1. 1.University of KonstanzKonstanzGermany

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