dc.creator | Aranda Corral, Gonzalo A. | es |
dc.creator | Borrego Díaz, Joaquín | es |
dc.creator | Galán Páez, Juan | es |
dc.date.accessioned | 2018-05-25T09:22:04Z | |
dc.date.available | 2018-05-25T09:22:04Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2011). Selecting Attributes for Sport Forecasting using Formal Concept Analysis. En CS-Sports 2011: Workshop on Complex Systems and Sports Granada, España: Cornell University Library. | |
dc.identifier.uri | https://hdl.handle.net/11441/75147 | |
dc.description.abstract | In order to address complex systems, apply pattern recongnition
on their evolution could play an key role to understand
their dynamics. Global patterns are required to detect emergent
concepts and trends, some of them with qualitative nature.
Formal Concept Analysis (FCA) is a theory whose goal
is to discover and to extract Knowledge from qualitative data.
It provides tools for reasoning with implication basis (and association
rules). Implications and association rules are usefull
to reasoning on previously selected attributes, providing
a formal foundation for logical reasoning. In this paper we
analyse how to apply FCA reasoning to increase confidence
in sports betting, by means of detecting temporal regularities
from data. It is applied to build a Knowledge Based system
for confidence reasoning. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2009-09492 | es |
dc.description.sponsorship | Junta de Andalucía TIC-6064 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Cornell University Library | es |
dc.relation.ispartof | CS-Sports 2011: Workshop on Complex Systems and Sports (2011), | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Selecting Attributes for Sport Forecasting using Formal Concept Analysis | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2009-09492 | es |
dc.relation.projectID | TIC-6064 | es |
dc.relation.publisherversion | https://arxiv.org/abs/1107.5474 | es |
idus.format.extent | 10 | es |
dc.eventtitle | CS-Sports 2011: Workshop on Complex Systems and Sports | es |
dc.eventinstitution | Granada, España | es |
dc.relation.publicationplace | Ithaca, New York | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |
dc.contributor.funder | Junta de Andalucía | |