Details of Grant 

EPSRC Reference:	EP/E043488/1
Title:	Machine Learning Mining of Athlete Event Data
Principal Investigator:	Bull, Professor L
Other Investigators:
Researcher Co-Investigators:
Project Partners:	UK Sport
Department:	Faculty of Environment and Technology
Organisation:	University of the West of England
Scheme:	Standard Research
Starts:	01 February 2007	Ends:	31 May 2008	Value (£):	107,026
EPSRC Research Topic Classifications:	Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:	Sports and Recreation
Related Grants:
Panel History:
Summary on Grant Application Form
There is now widespread recognition that it is possible to extract previously unknown knowledge from datasets using machine learning techniques. In particular, rule induction algorithms capture the structure of data in a form directly amenable to human understanding. This project will explore the utility of a form of rule induction which combines evolutionary computation with reinforcement learning to produce human-readable solutions to facilitate knowledge discovery with respect to race analyses of the British swimming team. The technique, known as the Learning Classifier System (LCS), has recently shown great potential for data mining problems. LCS, along with other machine learning approaches, will be used to explore athlete datasets provided by the collaborating coach of the British swimming team.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk Summary Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:
Further Information:
Organisation Website:	http://www.uwe.ac.uk