DocumentCode
2796366
Title
SemanticPrism: A multi-aspect view of large high-dimensional data: VAST 2012 Mini Challenge 1 award: Outstanding integrated analysis and visualization
Author
Chen, Victor Yingjie ; Razip, Ahmad M ; Ko, Sungahn ; Qian, Cheryl Zhenyu ; Ebert, David S.
Author_Institution
Computer Graphics Technology
fYear
2012
fDate
14-19 Oct. 2012
Firstpage
259
Lastpage
260
Abstract
We present a visual analytics system SemanticPrism, which aims to analyze large-scale high-dimensional datasets containing logs of a million computers. SemanticPrism visualizes the data from three different perspectives: geo-temporal, time series curve, and pixel visualization. With each perspective, we use semantic zooming to present more detailed information.
Keywords
H. 1.2 [User/Machine Systems]: Visual Analytics; H.5.2 [Information Systems]: Information Interfaces and Presentation—User Interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4673-4752-5
Type
conf
DOI
10.1109/VAST.2012.6400527
Filename
6400527
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