dc.creator | Álvarez, Miguel Ángel | es |
dc.creator | González Abril, Luis | es |
dc.creator | Ortega Ramírez, Juan Antonio | es |
dc.creator | Soria Morillo, Luis Miguel | es |
dc.creator | Cuberos Gallardo, Francisco José | es |
dc.date.accessioned | 2023-05-24T11:06:49Z | |
dc.date.available | 2023-05-24T11:06:49Z | |
dc.date.issued | 2011-06 | |
dc.identifier.citation | Álvarez, M.Á., González Abril, L., Ortega Ramírez, J.A., Soria Morillo, L.M. y Cuberos Gallardo, F.J. (2011). A quantitative methodology to identify related features in data sets. En XIII Jornadas de ARCA: Sistemas Cualitativos y sus Aplicaciones en Diagnosis, Robótica e Inteligencia Ambiental (JARCA 2011) (39-43), Huelva, España: Universidad de Sevilla. | |
dc.identifier.isbn | 978-84-615-5513-0 | es |
dc.identifier.uri | https://hdl.handle.net/11441/146581 | |
dc.description.abstract | In this paper, a methodology which quantifies the dependence beteen features in a data set is developed. This methodology uses the Ameva discretization algorithm. In particular, it uses the Ameva coefficient to quantify the dependece. Furthermore, a new coefficient called entropy has been proposed for cases where it is not possible to apply the Ameva discretization algorithm. Thus, different matrices of inter-dependence are built provinding a grade of dependence between two features. Finally, to verify the qualitiews of this methodology, a simple method to discard features base don it is applied to a well-known data set in a classification process and promising results for the carried out system are obtained. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2009-14378-C02-01 | es |
dc.format | application/pdf | es |
dc.format.extent | 5 | es |
dc.language.iso | eng | es |
dc.publisher | Universidad de Sevilla | es |
dc.relation.ispartof | XIII Jornadas de ARCA: Sistemas Cualitativos y sus Aplicaciones en Diagnosis, Robótica e Inteligencia Ambiental (JARCA 2011) (2011), pp. 39-43. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A quantitative methodology to identify related features in data sets | 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 Lenguajes y Sistemas Informáticos | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Aplicada I | es |
dc.relation.projectID | TIN2009-14378-C02-01 | es |
dc.publication.initialPage | 39 | es |
dc.publication.endPage | 43 | es |
dc.eventtitle | XIII Jornadas de ARCA: Sistemas Cualitativos y sus Aplicaciones en Diagnosis, Robótica e Inteligencia Ambiental (JARCA 2011) | es |
dc.eventinstitution | Huelva, España | es |
dc.relation.publicationplace | Sevilla, España | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |