Variable selection in the prediction of business failure using genetic programming

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoEmpresaes_ES
UDC.grupoInvDirección Financeira e Sistemas de Información para a Xestión (FYSIG)es_ES
UDC.journalTitleKnowledge-Based Systemses_ES
UDC.volume289es_ES
dc.contributor.authorBeade, Angel
dc.contributor.authorRodríguez López, Manuel
dc.contributor.authorSantos Reyes, José
dc.date.accessioned2025-04-07T07:07:53Z
dc.date.available2025-04-07T07:07:53Z
dc.date.issued2024
dc.description.sponsorshipThis study was funded by the European Union (European Regional Development Fund - Galicia 2014-2020 Program) and Xunta de Galicia, with grants GPC ED431B 2022/33 and CITIC (ED431G 2019/01), and by the Spanish Ministry of Science and Innovation (project PID2020- 116201GB-I00).es_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2022/33es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.identifier.citationBeade,A., Rodríguez López, M. & Santos, J. (2024). Variable selection in the prediction of business failure using genetic programming. Knowledge-Based Systems, 289, 111529. https://doi.org/10.1016/j.knosys.2024.111529es_ES
dc.identifier.doi10.1016/j.knosys.2024.111529
dc.identifier.issn1872-7409
dc.identifier.issn0950-7051
dc.identifier.urihttp://hdl.handle.net/2183/41668
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/ PID2020-116201GB-I00/ES/RAZONAMIENTO AUTOMATICO Y APRENDIZAJE CON INDUCCION DE CONOCIMIENTOes_ES
dc.relation.urihttps://doi.org/10.1016/j.knosys.2024.111529es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacionales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectDimensionality reductiones_ES
dc.subjectEvolutionary computationes_ES
dc.subjectGenetic programminges_ES
dc.subjectBusiness failurees_ES
dc.titleVariable selection in the prediction of business failure using genetic programminges_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc85b6a48-b6d1-41c9-af79-3f6a2ee2e82d
relation.isAuthorOfPublicationf5e23200-9174-4def-9fde-e3ce6c3c26d5
relation.isAuthorOfPublication.latestForDiscoveryc85b6a48-b6d1-41c9-af79-3f6a2ee2e82d

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