A Case Study: Data Mining Applied to Student Enrollment
Descripción del Articulo
Indexado en Scopus
| Autores: | , , , , , , |
|---|---|
| Formato: | objeto de conferencia |
| Fecha de Publicación: | 2010 |
| Institución: | Universidad de Lima |
| Repositorio: | ULIMA-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/1345 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12724/1345 |
| Nivel de acceso: | acceso abierto |
| Materia: | Data mining Rendimiento académico Estudiantes universitarios Minería de datos |
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| dc.title.en_US.fl_str_mv |
A Case Study: Data Mining Applied to Student Enrollment |
| title |
A Case Study: Data Mining Applied to Student Enrollment |
| spellingShingle |
A Case Study: Data Mining Applied to Student Enrollment Vialardi Sacín, César Data mining Rendimiento académico Estudiantes universitarios Minería de datos |
| title_short |
A Case Study: Data Mining Applied to Student Enrollment |
| title_full |
A Case Study: Data Mining Applied to Student Enrollment |
| title_fullStr |
A Case Study: Data Mining Applied to Student Enrollment |
| title_full_unstemmed |
A Case Study: Data Mining Applied to Student Enrollment |
| title_sort |
A Case Study: Data Mining Applied to Student Enrollment |
| author |
Vialardi Sacín, César |
| author_facet |
Vialardi Sacín, César Chue Gallardo, Jorge Barrientos Padilla, Alfredo Victoria, Daniel Estrella, Jhonny Peche, Juan Pablo Ortigosa, Álvaro |
| author_role |
author |
| author2 |
Chue Gallardo, Jorge Barrientos Padilla, Alfredo Victoria, Daniel Estrella, Jhonny Peche, Juan Pablo Ortigosa, Álvaro |
| author2_role |
author author author author author author |
| dc.contributor.other.none.fl_str_mv |
Vialardi Sacín, César Chue Gallardo, Jorge Barrientos Padilla, Alfredo Victoria, Daniel Estrella, Jhonny Peche, Juan Pablo Ortigosa, Álvaro |
| dc.contributor.author.fl_str_mv |
Vialardi Sacín, César Chue Gallardo, Jorge Barrientos Padilla, Alfredo Victoria, Daniel Estrella, Jhonny Peche, Juan Pablo Ortigosa, Álvaro |
| dc.subject.en_EN.fl_str_mv |
Data mining |
| topic |
Data mining Rendimiento académico Estudiantes universitarios Minería de datos |
| dc.subject.es_PE.fl_str_mv |
Rendimiento académico Estudiantes universitarios Minería de datos |
| description |
Indexado en Scopus |
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2010 |
| dc.date.accessioned.none.fl_str_mv |
2016-07-07T14:46:52Z |
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2016-07-07T14:46:52Z |
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2010 |
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Artículo de conferencia en Scopus |
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Vialardi Sacín, C., Chue Gallardo, J., Barrientos, A., Victoria, D., Estrella, J., Peche, J. P., y Ortigosa, Á. (junio 2010). A case study: data mining applied to student enrollment. In Educational Data Mining 2010. |
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https://hdl.handle.net/20.500.12724/1345 |
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Educational Data Mining 2010 |
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Vialardi Sacín, C., Chue Gallardo, J., Barrientos, A., Victoria, D., Estrella, J., Peche, J. P., y Ortigosa, Á. (junio 2010). A case study: data mining applied to student enrollment. In Educational Data Mining 2010. Educational Data Mining 2010 |
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https://hdl.handle.net/20.500.12724/1345 |
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eng |
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eng |
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http://www.educationaldatamining.org/conferences/index.php/EDM/2010/paper/download/880/846 |
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https://repositorio.uam.es/bitstream/handle/10486/664976/case_vialardi_EDM_2010.pdf |
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Educational Data Mining |
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US |
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Universidad de Lima Repositorio Institucional - Ulima |
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Vialardi Sacín, CésarChue Gallardo, JorgeBarrientos Padilla, AlfredoVictoria, DanielEstrella, JhonnyPeche, Juan PabloOrtigosa, ÁlvaroVialardi Sacín, CésarChue Gallardo, JorgeBarrientos Padilla, AlfredoVictoria, DanielEstrella, JhonnyPeche, Juan PabloOrtigosa, Álvaro2016-07-07T14:46:52Z2016-07-07T14:46:52Z2010Vialardi Sacín, C., Chue Gallardo, J., Barrientos, A., Victoria, D., Estrella, J., Peche, J. P., y Ortigosa, Á. (junio 2010). A case study: data mining applied to student enrollment. In Educational Data Mining 2010.https://hdl.handle.net/20.500.12724/1345Educational Data Mining 2010Indexado en ScopusOne of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context, this paper presents a recommender system based on data mining. This recommender system intends to create awareness of the difficulty and amount of workload entailed by a chosen set of courses. For the purpose of building the underlying model, this paper describes the generation of domain specific variables that are capable of representing students’ past performance. The objective is to improve students’ performance in general, by reducing the rate of misguided enrollment decisions.application/pdfengEducational Data MiningUShttp://www.educationaldatamining.org/conferences/index.php/EDM/2010/paper/download/880/846https://repositorio.uam.es/bitstream/handle/10486/664976/case_vialardi_EDM_2010.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Universidad de LimaRepositorio Institucional - Ulimareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAData miningRendimiento académicoEstudiantes universitariosMinería de datosA Case Study: Data Mining Applied to Student Enrollmentinfo:eu-repo/semantics/conferenceObjectArtículo de conferencia en ScopusLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ulima.edu.pe/bitstream/20.500.12724/1345/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12724/1345oai:repositorio.ulima.edu.pe:20.500.12724/13452024-10-25 13:29:49.744Repositorio Universidad de Limarepositorio@ulima.edu.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 |
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