Metodología de segmentación para el SARLAFT
dc.contributor.advisor | Rojas Ormaza, Brayan Ricardo | |
dc.contributor.author | Perez Perez, Lincoln Ernesto | |
dc.contributor.orcid | Pérez Pérez, Lincoln Ernesto [0000-0002-5591-9714] | |
dc.date.accessioned | 2021-10-11T21:37:18Z | |
dc.date.available | 2021-10-11T21:37:18Z | |
dc.date.issued | 2020-07-12 | |
dc.description.abstract | En este proyecto de graduación se presenta una metodología para segmentar el SARLAFT. Al proponer el algoritmo CLARA para la segmentación y utilizar homals para el tratamiento de datos categóricos, finalmente se ejemplificó la metodología para su uso a nivel práctico, comparándola con las metodologías presentes en las instituciones financieras, especialmente los resultados obtenidos y el tiempo de ejecución. | spa |
dc.description.abstractenglish | In this graduation project a methodology is presented to segment the SARLAFT. By proposing the CLARA algorithm for segmentation and using homals for the treatment of categorical data, the methodology was finally exemplified for its use at a practical level, comparing it with the methodologies present in financial institutions, especially the results obtained and the execution time. | eng |
dc.description.degreelevel | Pregrado | spa |
dc.description.degreename | Estadístico | spa |
dc.description.sponsorship | KPMG Advisory, Tax & Legal S.A.S | spa |
dc.format.mimetype | application/pdf | |
dc.identifier.instname | instname:Universidad El Bosque | spa |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad El Bosque | spa |
dc.identifier.repourl | repourl:https://repositorio.unbosque.edu.co | |
dc.identifier.uri | https://hdl.handle.net/20.500.12495/6168 | |
dc.language.iso | spa | |
dc.publisher.faculty | Facultad de Ciencias | spa |
dc.publisher.grantor | Universidad El Bosque | spa |
dc.publisher.program | Estadística | spa |
dc.relation.references | McClain, J. O., y Rao, V. R. (1975). Clustisz: A program to test for the quality ofclustering of a set of objects.Journal of Marketing Research, 456–460. | spa |
dc.relation.references | Baker, F. B., y Hubert, L. J. (1975). Measuring the power of hierarchical cluster analysis.Journal of the American Statistical Association,70(349), 31–38 | spa |
dc.relation.references | Hartigan, J. A. (1975).Clustering algorithms. John Wiley & Sons, Inc. | spa |
dc.relation.references | Hubert, L., y Arabie, P. (1985). Comparing partitions.Journal of classification,2(1),193–218 | spa |
dc.relation.references | Dunn, J. C. (1974). Well-separated clusters and optimal fuzzy partitions.Journal ofcybernetics,4(1), 95–104 | spa |
dc.relation.references | Friedman, H. P., y Rubin, J. (1967). On some invariant criteria for grouping data.Journalof the American Statistical Association,62(320), 1159–1178 | spa |
dc.relation.references | Babichev, S., Lytvynenko, V., y Osypenko, V. (2017). Implementation of the objectiveclustering inductive technology based on dbscan clustering algorithm. En201712th international scientific and technical conference on computer sciences andinformation technologies (csit)(Vol. 1, pp. 479–484) | spa |
dc.relation.references | Aljarah, I., Mafarja, M., Heidari, A. A., Faris, H., y Mirjalili, S. (2020). Clustering analysisusing a novel locality-informed grey wolf-inspired clustering approach.Knowledgeand Information Systems,62(2), 507–539. | spa |
dc.relation.references | Krzanowski, W. J., y Lai, Y. (1988). A criterion for determining the number of groupsin a data set using sum-of-squares clustering.Biometrics, 23–34. | spa |
dc.rights | CC0 1.0 Universal | * |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
dc.rights.accessrights | https://purl.org/coar/access_right/c_abf2 | |
dc.rights.creativecommons | 2020-12-12 | |
dc.rights.local | Acceso abierto | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | SARLAFT | spa |
dc.subject | Segmentación | spa |
dc.subject | CLARA | spa |
dc.subject | Homals | spa |
dc.subject.armarc | Algoritmos heurísticos | spa |
dc.subject.armarc | Riesgo (Finanzas) | spa |
dc.subject.armarc | Segmentación del mercado -- Firmas (Empresas) | spa |
dc.subject.ddc | 519.5 | |
dc.subject.keywords | SARLAFT | spa |
dc.subject.keywords | segmentation | spa |
dc.subject.keywords | CLARA | spa |
dc.subject.keywords | Homals | spa |
dc.title | Metodología de segmentación para el SARLAFT | spa |
dc.title.translated | SARLAFT segmentation methodology | spa |
dc.type.coar | https://purl.org/coar/resource_type/c_7a1f | |
dc.type.coarversion | https://purl.org/coar/version/c_ab4af688f83e57aa | |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | |
dc.type.local | Tesis/Trabajo de grado - Monografía - Pregrado | spa |
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