Modern communication infrastructures enable more and more information to be available in real-time. While this has proven to be use- ful for very targeted pieces of information, the human capability to pro- cess 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 ana- lytics, 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.
CITATION STYLE
Mansmann, F., Fischer, F., & Keim, D. A. (2012). Dynamic Visual Analytics—Facing the Real-Time Challenge. In Expanding the Frontiers of Visual Analytics and Visualization (pp. 69–80). Springer London. https://doi.org/10.1007/978-1-4471-2804-5_5
Mendeley helps you to discover research relevant for your work.