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A Customer Churn Detection Model for the Pay-TV Sector
dc.contributor.author | López Oliva, Vicente | |
dc.contributor.author | Egea, Rebeca | |
dc.contributor.author | Museros, Lledó | |
dc.contributor.author | Sanz, Ismael | |
dc.date.accessioned | 2023-04-03T14:05:56Z | |
dc.date.available | 2023-04-03T14:05:56Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 9781643682105 | |
dc.identifier.uri | http://hdl.handle.net/10234/202139 | |
dc.description | Ponència presentada en el 23rd International Conference of the Catalan Association for Artificial Intelligence | ca_CA |
dc.format.extent | 8 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Ios Press | ca_CA |
dc.relation | Aplicación de técnicas de IA para la generación de digital Twins en turismo | ca_CA |
dc.relation.isPartOf | Artificial Intelligence Research and Development: Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence. IOS Press, 2021. p. 159. | ca_CA |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | ca_CA |
dc.subject | data mining | ca_CA |
dc.subject | imbalance classification problem | ca_CA |
dc.subject | customer churn prediction | ca_CA |
dc.subject | Pay-TV platforms | ca_CA |
dc.title | A Customer Churn Detection Model for the Pay-TV Sector | ca_CA |
dc.type | info:eu-repo/semantics/conferenceObject | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.3233/FAIA210129 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://ebooks.iospress.nl/doi/10.3233/FAIA210129 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
project.funder.name | Ministry of Economy and Commerce | ca_CA |
project.funder.name | Universitat Jaume I | ca_CA |
oaire.awardNumber | TIN2016-88835-RET | ca_CA |
oaire.awardNumber | UJI-B2020-15 | ca_CA |