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Bayesian classifier applied to higher education dropout
dc.contributor.author | amelec, viloria | spa |
dc.contributor.author | Pineda Lezama, Omar Bonerge | spa |
dc.contributor.author | Varela Izquierdo, Noel | spa |
dc.date.accessioned | 2020-02-03T19:28:28Z | |
dc.date.available | 2020-02-03T19:28:28Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 00002010 | spa |
dc.identifier.uri | http://hdl.handle.net/11323/5977 | spa |
dc.description.abstract | The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty of Engineering Sciences of Mumbai University, in India in the period 2017-2018 on the basis of socioeconomic data. The Weka tool is then used to perform the classification and the proposed model is statistically compared with other Bayesian classifiers. | spa |
dc.description.abstract | La investigación propone un nuevo clasificador bayesiano simple (SBND) con Markov de la variable de clase a una estructura de red. Las pruebas experimentales se llevan a cabo mediante un análisis de abandono en los estudiantes matriculados en la Facultad de Ciencias de la Ingeniería de la Universidad de Mumbai, en la India, en el período 2017-2018 sobre la base de datos socioeconómicos. La herramienta Weka se utiliza para realizar la clasificación y el modelo propuesto se compara estadísticamente con otros clasificadores bayesianos. | spa |
dc.language.iso | eng | |
dc.publisher | Procedia Computer Science | spa |
dc.rights | CC0 1.0 Universal | spa |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | spa |
dc.subject | Bayesian networks | spa |
dc.subject | Bayesian classifier | spa |
dc.subject | Educational analysis | spa |
dc.subject | Redes bayesianas | spa |
dc.subject | Clasificacion bayesiana | spa |
dc.subject | Analisis educacional | spa |
dc.title | Bayesian classifier applied to higher education dropout | spa |
dc.type | Artículo de revista | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.identifier.instname | Corporación Universidad de la Costa | spa |
dc.identifier.reponame | REDICUC - Repositorio CUC | spa |
dc.identifier.repourl | https://repositorio.cuc.edu.co/ | spa |
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dc.relation.references | Vásquez, C., Torres-Samuel, M., Viloria, A., Lis-Gutiérrez, J.P., Crissien Borrero, T., Varela, N., Cabrera, D.: Cluster of the Latin American Universities Top100 According to Webometrics 2017. In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, Springer, Cham, vol 10943, 1-12 (2018). | spa |
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dc.relation.references | Viloria, A., Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J.: Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching – Learning Process Through Knowledge Data Discovery (Big Data). In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. | spa |
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dc.relation.references | Vanyolos, E., I. Furka, I. Miko y otros tres autores. How does practice improve the skills of medical students during consecutive training courses? doi; https://dx.doi.org/10.1590/s0102-865020170060000010. Rev. Acta Cirurgica Brasileira, 32(6), 491-502 (2017) | spa |
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dc.title.translated | Clasificador bayesiano aplicado al abandono de la educación superior | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
dc.type.version | info:eu-repo/semantics/acceptedVersion | spa |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
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