Now showing items 1-4 of 4

    • The collection, analysis and exploitation of footballer attributes: A systematic review 

      Wakelam, Ed; Steuber, Volker; Wakelam, James (2022-03-11)
      There is growing on-going research into how footballer attributes, collected prior to, during and post-match, may address the demands of clubs, media pundits and gaming developers. Focusing upon individual player performance ...
    • Developing an agent-based simulation model of software evolution 

      Shallaw Mohammed; Doolan, Martina; Wernick, Paul; Wakelam, Ed (2018-04-01)
      Context In attempt to simulate the factors that affect the software evolution behaviour and possibly predict it, several simulation models have been developed recently. The current system dynamic (SD) simulation model of ...
    • The Mining and Analysis of Data with Mixed Attribute Types 

      Wakelam, Ed; Davey, Neil; Sun, Yi; Jefferies, Amanda; Alva, Parimala; Hocking, Alex (IARIA, 2016-05-22)
      Mining and analysis of large data sets has become a major contributor to the exploitation of Artificial Intelligence in a wide range of real life challenges, including education, business intelligence and research. In the ...
    • The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes 

      Wakelam, Ed; Jefferies, Amanda; Davey, Neil; Sun, Yi (2019-06-25)
      The measurement of student performance during their progress through university study provides academic leadership with critical information on each student’s likelihood of success. Academics have traditionally used their ...