Visual analytics support for collecting and correlating evidence for intelligence analysis.

IEEE VAST(2014)

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摘要
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.
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