dc.contributor.author | Chango, W. | |
dc.contributor.author | Cerezo Menéndez, Rebeca | |
dc.contributor.author | Romero, C. | |
dc.date.accessioned | 2024-04-18T07:20:27Z | |
dc.date.available | 2024-04-18T07:20:27Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-173367363-1 | |
dc.identifier.uri | https://hdl.handle.net/10651/72157 | |
dc.description | National Conference on Educational Data Mining (15th. 2022. Durham, United Kingdom) | |
dc.description.sponsorship | This work would not have been possible without the funding from the Ministry of Sciences and Innovation I+D+I PID2020-115832GB-I00 and PID2019-107201GB-I00. | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022 | |
dc.rights | © 2022 Copyright is held by the author(s) | |
dc.rights | CC - Reconocimiento - No comercial - Sin obra derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174850456&doi=10.5281%2fzenodo.6853089&partnerID=40&md5=e4c5b61903a7e0a6dbbc61ff9eaf40b9 | |
dc.title | Looking for the best data fusion model in smart learning environments for detecting at risk university students | |
dc.type | conference output | |
dc.identifier.doi | 10.5281/zenodo.6853089 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107201GB-I00/ES/DETECCION TEMPRANA E INTERVENCION EN DIFICULTADES DE APRENDIZAJE ESPACIFICAS (DAE) DESDE EL MODELO RTI/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115832GB-I00/ES/MEJORANDO LA EXPERIENCIA DEL USUARIO DE CIENCIA DE DATOS CON TECNICAS DE INTELIGENCIA COMPUTACIONAL/ | |
dc.relation.publisherversion | http://dx.doi.org/10.5281/zenodo.6853089 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR | |