DocumentCode :
119594
Title :
VAST 2014 mini-challenge 1: MEAT — Multiview event analysis tool of diverse data sources
Author :
Cai, Zhuang ; Chen, Mengyao ; Zhao, Hanqing ; Zhao, Ying ; Zhou, Fangfang ; Zhang, Kang
Author_Institution :
Tianjin University School
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
315
Lastpage :
317
Abstract :
Dealing with diverse data sources has becoming a new challenge in visual analytics. MEAT intelligence analysis system is designed to meet the challenge of VAST 2014 Mini-Challenge 1 [1]. Using a coordinated multiview with a clear interaction pipeline, MEAT supports complicated analyzing tasks, including intelligence collection and reasoning. Using MEAT, we have successfully mined a great amount of information from the available data, resolved the problems one after another and finally delivered a convincing outcome.
Keywords :
coordinated multi-view visualization; diverse data sources; visual intelligence analytics; visual reasoning;
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.2014.7042544
Filename :
7042544
Link To Document :
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