Computer Science: Recent submissions

Now showing items 161-165 of 297

    • Reading small scalar data fields: color scales vs. Detail on Demand vs. FatFonts 

      Manteau, Constant; Nacenta, Miguel; Mauderer, Michael (Canadian Human-Computer Communications Society, 2017-05-16) - Conference item
      We empirically investigate the advantages and disadvantages of color- and digit-based methods to represent small scalar fields. We compare two types of color scales (one brightness-based and one that varies in hue, saturation ...

    • Model selection and testing for an automated constraint modelling toolchain 

      Hussain, Bilal Syed (University of St Andrews, 2017-06-21) - Thesis
      Constraint Programming (CP) is a powerful technique for solving a variety of combinatorial problems. Automated modelling using a refinement based approach abstracts over modelling decisions in CP by allowing users to specify ...

    • Opportunistic visualization with iVoLVER 

      Méndez, Gonzalo Gabriel; Nacenta, Miguel A. (IEEE Computer Society, 2016-11-08) - Conference item
      Proposed as 'data analysis anywhere, anytime, from anything', Opportunistic Information Visualization (Opportu-Vis) [1] seeks to provide analytical support in scenarios where the data of interest is not explicitly available ...

    • Some problems in the theory and application of the methods of numerical taxonomy 

      Wishart, David (University of St Andrews, 1970) - Thesis
      Several of the methods of numerical taxonomy are compared and shown to be variants of a tripartite grouping procedure associated with a generalised intercluster similarity function involving ten computational parameters. ...

    • Survey on data fragmentation issues for users 

      Balekundargi, Pooja Basavaraj (University of St Andrews, 2016) - Thesis
      Information is just data that is processed and given meaning. We live in a world where we use information to carry out the simplest tasks. We normally have different types of information, some very important and some less. ...