Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/282
Autor(es): Sérgio Nunes
Marco Sousa
Título: Applying data mining techniques to football data from European championships
Data de publicação: 2006
Resumo: Data Mining is the process of finding new, potentially useful and non trivial knowledge from data. Football is a popular game worldwide and a rich source of data. Gathering only part of this data we are able to collect hundreds of cases. In this paper we describe an exploratory work where we use Data Association Rules, Classification and Visualization techniques to find patterns in datasets from several European championships. For each one of these techniques, different hypotheses were stated. For Association Rules and Visualization, our hypothesis was that we would be able to find non trivial knowledge and confirm several known patterns. For Classification, our hypothesis was that we would be able to classify matches according to their results based on the available history. Our findings didnt confirm our hypotheses to their full extent as expected. Our exploratory work confirmed several well known patterns in football and highlighted borderline cases. Among the several techniques used, visualization produced the best results.
Assunto: Engenharia do conhecimento, Outras ciências da engenharia e tecnologias
Knowledge engineering, Other engineering and technologies
Áreas do conhecimento: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://hdl.handle.net/10216/282
Fonte: Actas da 1ª Conferência de Metodologias de Investigação Científica (CoMIC'06)
Tipo de Documento: Artigo em Livro de Atas de Conferência Nacional
Condições de Acesso: restrictedAccess
Licença: https://creativecommons.org/licenses/by-nc/4.0/
Aparece nas coleções:FEUP - Artigo em Livro de Atas de Conferência Nacional

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