Data Visualisation and Statistical Analysis within the Decision Making Process

Large amounts of data are collected and stored within universities, but little is done to reuse this data to support decision making processes. This paper discusses the use of data visualisation and statistical analysis as methods of making sense of the collected data, analysing it to assess the effects of historical institutional decisions and discusses the use of such techniques to aid decision making processes.

[1]  S. Fortunato,et al.  Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.

[2]  Daniel A. Keim,et al.  Information Visualization and Visual Data Mining , 2002, IEEE Trans. Vis. Comput. Graph..

[3]  Wolfgang Kienreich,et al.  What is Knowledge Visualization? Perspectives on an Emerging Discipline , 2011, 2011 15th International Conference on Information Visualisation.

[4]  Remo Burkhard,et al.  Knowledge visualization: The use of complementary visual representations for the transfer of knowledge. A model, a framework, and four new approaches , 2005 .

[5]  K. Kaski,et al.  Limited resolution in complex network community detection with Potts model approach , 2006 .

[6]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[7]  David Auber,et al.  From Databases to Graph Visualization , 2010, 2010 14th International Conference Information Visualisation.

[8]  Stefanie Rinderle-Ma,et al.  Business Process Visualization - Use Cases, Challenges, Solutions , 2006, ICEIS.

[9]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[10]  Paolo Ciuccarelli,et al.  From Data to Knowledge - Visualizations as Transformation Processes within the Data-Information-Knowledge Continuum , 2010, 2010 14th International Conference Information Visualisation.

[11]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[12]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[13]  Philip K. Robertson,et al.  A methodology for scientific data visualisation: choosing representations based on a natural scene paradigm , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.