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2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (2014)
Paris, France
Oct. 25, 2014 to Oct. 31, 2014
ISBN: 978-1-4799-6227-3
pp: 373-374
Fabian Fischer , University of Konstanz
Florian Stoffel , University of Konstanz
ABSTRACT
To solve the VAST Challenge 2014 MC3 we use NStreamAware, which is our real-time visual analytics system to analyze data streams. We make use of various modern technologies like Apache Spark and others to provide high scalability and incorporate new technologies and show their use within visual analytics applications. Furthermore, we developed a web application, called NVisAware, to analyze and visualize data streams to help the analyst to focus on the most important time segments. We extracted so-called sliding slices, which are aggregated summaries calculated on a sliding window and represent them in a small-multiple like visualization containing various small visualizations (e.g., word clouds) to present an overview of the current time segment. We show how these techniques can be used to successfully solve the given tasks.
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CITATION

F. Fischer and F. Stoffel, "NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3)," 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 2014, pp. 373-374.
doi:10.1109/VAST.2014.7042572
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