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
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;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
DOI :
10.1109/VAST.2012.6400527
