dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Romero Morales, María Dolores | es |
dc.date.accessioned | 2016-09-08T09:52:00Z | |
dc.date.available | 2016-09-08T09:52:00Z | |
dc.date.issued | 2013-01 | |
dc.identifier.citation | Carrizosa Priego, E.J. y Romero Morales, M.D. (2013). Supervised classification and mathematical optimization. Computers & Operations Research, 40 (1), 150-165. | |
dc.identifier.issn | 0305-0548 | es |
dc.identifier.issn | 1873-765X | es |
dc.identifier.uri | http://hdl.handle.net/11441/44821 | |
dc.description.abstract | Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between Mathematical Optimization methods and Supervised Classification are emphasized. It is shown that many different areas of Mathematical Optimization play a central role in off-the-shelf Supervised Classification methods. Moreover, Mathematical Optimization turns out to be extremely
useful to address important issues in Classification, such as identifying relevant variables, improving the interpretability of classifiers or dealing with vagueness/noise in the data. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación | es |
dc.description.sponsorship | Junta de Andalucía | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Computers & Operations Research, 40 (1), 150-165. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Data mining | es |
dc.subject | Mathematical optimization | es |
dc.subject | Support vector machines | es |
dc.subject | Interpretability | es |
dc.subject | Cost efficiency | es |
dc.title | Supervised classification and mathematical optimization | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.projectID | MTM2009-14039 | es |
dc.relation.projectID | FQM-329 | es |
dc.relation.publisherversion | http://ac.els-cdn.com/S0305054812001190/1-s2.0-S0305054812001190-main.pdf?_tid=a56b1398-75a9-11e6-b3fa-00000aab0f26&acdnat=1473328396_8a6d514dadd2d3054ca34ffd73fc5139 | es |
dc.identifier.doi | 10.1016/j.cor.2012.05.015 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimizacion | es |
idus.format.extent | 58 p. | es |
dc.journaltitle | Computers & Operations Research | es |
dc.publication.volumen | 40 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | 150 | es |
dc.publication.endPage | 165 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/44821 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |
dc.contributor.funder | Junta de Andalucía | |