Constraint programming and machine learning for interactive soccer analysis

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dc.contributor.authorDuque, Robinsonen
dc.contributor.authorDíaz, Juan Franciscoen
dc.contributor.authorArbelaez, Alejandroen
dc.contributor.editorFesta, Paola
dc.contributor.editorSellmann, Meinolf
dc.contributor.editorVanschoren, Joaquin
dc.date.accessioned2024-02-06T13:06:19Z
dc.date.available2024-02-06T13:06:19Z
dc.date.issued2016-12-01en
dc.description.abstractA soccer competition consists of n teams playing against each other in a league or tournament system, according to a single or double round-robin schedule. These competitions offer an excellent opportunity to model interesting problems related to questions that soccer fans frequently ask about their favourite teams. For instance, at some stage of the competition, fans might be interested in determining whether a given team still has chances of winning the competition (i.e., finishing first in a league or being within the first k teams in a tournament to qualify to the playoff). This problem relates to the elimination problem, which is NP-complete for the actual FIFA pointing rule system (0, 1, 3), zero point to a loss, one point to a tie, and three points to a win. In this paper, we combine constraint programming with machine learning to model a general soccer scenario in a real-time application.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDuque, R., Díaz, J. F. and Arbelaez, A. (2016) 'Constraint programming and machine learning for interactive soccer analysis', in Festa, P., Sellmann, M. and Vanschoren, J. (eds.) Learning and Intelligent Optimization. LION 2016, pp 240–246. Lecture Notes in Computer Science, 10079. Springer, Cham. https://doi.org/10.1007/978-3-319-50349-3_18en
dc.identifier.doihttps://doi.org/10.1007/978-3-319-50349-3_18en
dc.identifier.endpage246en
dc.identifier.isbn9783319503486en
dc.identifier.isbn9783319503493en
dc.identifier.issn0302-9743en
dc.identifier.issn1611-3349en
dc.identifier.journaltitleLecture Notes in Computer Scienceen
dc.identifier.startpage240en
dc.identifier.urihttps://hdl.handle.net/10468/15497
dc.identifier.volume10079en
dc.language.isoenen
dc.publisherSpringer Nature Ltd.en
dc.relation.ispartofLecture Notes in Computer Scienceen
dc.relation.ispartofLearning and Intelligent Optimizationen
dc.relation.ispartofInternational Conference on Learning and Intelligent Optimization (LION 2016)en
dc.rights© 2016, Springer International Publishing AG. This version of the paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-319-50349-3_18en
dc.subjectSingle round robinen
dc.subjectElimination problemen
dc.subjectPlayoffsen
dc.subjectSoccer fansen
dc.subjectCombining constraint programmingen
dc.titleConstraint programming and machine learning for interactive soccer analysisen
dc.typeBook chapteren
dc.typeConference itemen
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