Sports data mining: predicting results for the college football games

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dc.contributor.authorLeung, Carson K.
dc.contributor.authorJoseph, Kyle W.
dc.date.accessioned2017-02-13T15:53:12Z
dc.date.available2017-02-13T15:53:12Z
dc.date.issued2014
dc.descriptionC.K. Leung, K.W. Joseph. Sports data mining: predicting results for the college football games. Procedia Computer Science, 35 (2014), pp. 710-719. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.description.abstractIn many real-life sports games, spectators are interested in predicting the outcomes and watching the games to verify their predictions. Traditional approaches include subjective prediction, objective prediction, and simple statistical methods. However, these approaches may not be too reliable in many situations. In this paper, we present a sports data mining approach, which helps discover interesting knowledge and predict outcomes of sports games such as college football. Our approach makes predictions based on a combination of four different measures on the historical results of the games. Evaluation results on real-life college football data shows that our approach leads to relatively high accuracy in result prediction.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationC.K. Leung, K.W. Joseph. Sports data mining: predicting results for the college football games. Procedia Computer Science, 35 (2014), pp. 710-719.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.procs.2014.08.153
dc.identifier.urihttp://hdl.handle.net/1993/32125
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsopen accessen_US
dc.subjectAmerican footballen_US
dc.subjectcollege footballen_US
dc.subjectdata miningen_US
dc.subjectknowledge-based and intelligent information & engineering systemsen_US
dc.subjectintelligent systems applicationsen_US
dc.subjectpredictionen_US
dc.subjectsports data miningen_US
dc.titleSports data mining: predicting results for the college football gamesen_US
dc.typeArticleen_US
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