VAST 2014 mini-challenge 1: MEAT — Multiview event analysis tool of diverse data sources
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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.
[1] Georges G. Grinstein,et al. Vectorized Radviz and Its Application to Multiple Cluster Datasets , 2008, IEEE Transactions on Visualization and Computer Graphics.
[2] Danny Holten,et al. Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data , 2006, IEEE Transactions on Visualization and Computer Graphics.