Paper Info
Title
Visual analytics support for collecting and correlating evidence for intelligence analysis.
Abstract
Understanding multiple types of data source and correlating them make intelligence analysis a challenging task. Visual analytics techniques help analysts better comprehend the data and find correlations. We proposed a visual analytics system mainly designed for collecting and correlating evidence in intelligence analysis. Based on our system, we provided a analytical solution for IEEE VAST Challenge 2014 Grand Challenge. With the system, analysts collect information from spatial, temporal and network data. Multiple correlating methods are provided to help analysts generate a wide range of hypotheses and test their reliability.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042545
IEEE VAST
Field
DocType
ISSN
Data science,Data mining,Computer science,Visual analytics,Data type,Cultural analytics,Network data,Analytics,Intelligence analysis
Conference
2325-9442
Citations 
PageRank 
References 
0
0.34
1
Authors
7
Name
Order
Citations
PageRank
Siming Chen112514.34
Chenglong Wang210.70
Zipeng Liu321.71
Zhenhuang Wang400.34
Zuchao Wang536113.82
Zhengjie Miao6116.61
Xiaoru Yuan7115770.28