E-mail processing using data mining techniques
- Autores
- Villa Monte, Augusto; Estrebou, César Armando; Lanzarini, Laura Cristina
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- A proposal to use data mining techniques to analyze e-mails corresponding to courses carried out through a distance education plat- form is made. The purpose of this type of analyses is determining which are the groups of relevant words that allow establishing communication topics of interest. Even though this new information can have various applications, they all involve an improvement in student service. The method proposed has been applied to the e-mails of the PACENI Project (Support Project for Improving First-Year Teaching in Courses of Studies in Exact and Natural Sciences, Economic Science and Computer Science) with satisfactory results.
Presentado en el IX Workshop Tecnología Informática aplicada en Educación (WTIAE)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
text mining; e-mails analysis; topic detection
Information Search and Retrieval
Data mining
Distance learning - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/19142
Ver los metadatos del registro completo
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E-mail processing using data mining techniquesVilla Monte, AugustoEstrebou, César ArmandoLanzarini, Laura CristinaCiencias Informáticastext mining; e-mails analysis; topic detectionInformation Search and RetrievalData miningDistance learningA proposal to use data mining techniques to analyze e-mails corresponding to courses carried out through a distance education plat- form is made. The purpose of this type of analyses is determining which are the groups of relevant words that allow establishing communication topics of interest. Even though this new information can have various applications, they all involve an improvement in student service. The method proposed has been applied to the e-mails of the PACENI Project (Support Project for Improving First-Year Teaching in Courses of Studies in Exact and Natural Sciences, Economic Science and Computer Science) with satisfactory results.Presentado en el IX Workshop Tecnología Informática aplicada en Educación (WTIAE)Red de Universidades con Carreras en Informática (RedUNCI)2010-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf415-424http://sedici.unlp.edu.ar/handle/10915/19142enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T11:57:08Zoai:sedici.unlp.edu.ar:10915/19142Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 11:57:08.374SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
E-mail processing using data mining techniques |
title |
E-mail processing using data mining techniques |
spellingShingle |
E-mail processing using data mining techniques Villa Monte, Augusto Ciencias Informáticas text mining; e-mails analysis; topic detection Information Search and Retrieval Data mining Distance learning |
title_short |
E-mail processing using data mining techniques |
title_full |
E-mail processing using data mining techniques |
title_fullStr |
E-mail processing using data mining techniques |
title_full_unstemmed |
E-mail processing using data mining techniques |
title_sort |
E-mail processing using data mining techniques |
dc.creator.none.fl_str_mv |
Villa Monte, Augusto Estrebou, César Armando Lanzarini, Laura Cristina |
author |
Villa Monte, Augusto |
author_facet |
Villa Monte, Augusto Estrebou, César Armando Lanzarini, Laura Cristina |
author_role |
author |
author2 |
Estrebou, César Armando Lanzarini, Laura Cristina |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas text mining; e-mails analysis; topic detection Information Search and Retrieval Data mining Distance learning |
topic |
Ciencias Informáticas text mining; e-mails analysis; topic detection Information Search and Retrieval Data mining Distance learning |
dc.description.none.fl_txt_mv |
A proposal to use data mining techniques to analyze e-mails corresponding to courses carried out through a distance education plat- form is made. The purpose of this type of analyses is determining which are the groups of relevant words that allow establishing communication topics of interest. Even though this new information can have various applications, they all involve an improvement in student service. The method proposed has been applied to the e-mails of the PACENI Project (Support Project for Improving First-Year Teaching in Courses of Studies in Exact and Natural Sciences, Economic Science and Computer Science) with satisfactory results. Presentado en el IX Workshop Tecnología Informática aplicada en Educación (WTIAE) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
A proposal to use data mining techniques to analyze e-mails corresponding to courses carried out through a distance education plat- form is made. The purpose of this type of analyses is determining which are the groups of relevant words that allow establishing communication topics of interest. Even though this new information can have various applications, they all involve an improvement in student service. The method proposed has been applied to the e-mails of the PACENI Project (Support Project for Improving First-Year Teaching in Courses of Studies in Exact and Natural Sciences, Economic Science and Computer Science) with satisfactory results. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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conferenceObject |
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publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/19142 |
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http://sedici.unlp.edu.ar/handle/10915/19142 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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