1. VAST Challenge 2014 - The Kronos Incident


    from Jo Wood Added 191 0 0

    Summary of the visual analytics software design created as part of the VAST Challenge 20014 Mini challenge 2 - http://vacommunity.org/VAST+Challenge+2014%3A+Mini-Challenge+2

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    • giCentre entry to the VAST Challenge 2012


      from Aidan Slingsby Added 173 0 0

      Our prize-winning entry to the VAST Challenge 2012 which describes how we designed, implemented and used visual analytics to identify potential security breaches in the computer network the fictitious Bank of Money in the fictitious BankWorld. We were awarded prize for Efficient Use of Visualisation. See http://www.vacommunity.org/VAST+Challenge+2012 for more details about the Challenge. See http://gicentre.org/vast2012/ for our entry.

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      • VAST Challenge: Visualizing the Drafa fever pandemic


        from Jo Wood Added 196 0 0

        This was part of our entry for the IEEE VAST Challenge 2010. We used the software 'Processing' to analyse the spread of the fictitious disease 'Drafa fever' over a 10 week period in 11 cities around the world.

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        • VAST Challenge: Detecting arms trading without a computer


          from Jo Wood Added 116 0 0

          This was part of our entry for the IEEE VAST Challenge 2010. Given a dataset comprising news items, blogs and intercepted emails, could we identify a (fictitious) network of arms traders without the use of Visual Analytics software?

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          • Tracing the mutations of a disease


            from Aidan Slingsby Added 34 0 0

            Entry to the VAST challenge "mini challenge 3" in which questions about the mutation of a disease had to be answered using visual analytics. This video demonstrates a rapidly-built tools that facilitates this. Details of the challenge: http://www.cs.umd.edu/hcil/VASTchallenge2010/ Data and other entries from this year are at: http://hcil.cs.umd.edu/localphp/hcil/vast/archive/task.php?ts_id=150 The annual VAST (Visual Analytics in Science and Technology) challenge provides a large simulated but realistic dataset (usually relating to issues of national security) and challenges participants to interpret the data using visual analytics.

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