VAST 2014 mini-challenge 1: MEAT — Multiview event analysis tool of diverse data sources

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.