Paper Info
Title
VAST 2014 mini-challenge 1: MEAT - Multiview event analysis tool of diverse data sources.
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.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042544
IEEE VAST
Keywords
Field
DocType
visual intelligence analytics, diverse data sources, coordinated multi-view visualization, visual reasoning, H5.2 [Information Interfaces and Presentation]: User Interfaces-GUI, I. 2.7 [Artificial Intelligence]: Natural Language Processing-Text Analysis, K. 4.3 [Automation]: Anomaly Detection-Visual Hints
Data science,Data mining,Visual reasoning,Computer science,Visual analytics,Interactive visual analysis,Cultural analytics,Analytics,Event analysis,Intelligence analysis
Conference
ISSN
Citations 
PageRank 
2325-9442
0
0.34
References 
Authors
2
6
Name
Order
Citations
PageRank
Zhuang Cai151.53
Meng-Yao Chen200.34
Hanqing Zhao345.83
Ying Zhao421921.13
Fangfang Zhou5423.67
Kang Zhang61054126.26