DocumentCode
119645
Title
NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3)
Author
Fischer, Fabian ; Stoffel, Florian
Author_Institution
University of Konstanz
fYear
2014
fDate
25-31 Oct. 2014
Firstpage
373
Lastpage
374
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.
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location
Paris, France
Type
conf
DOI
10.1109/VAST.2014.7042572
Filename
7042572
Link To Document