E-Mail Processing with Fuzzy SOMs and Association Rules

E-mail texts are hard to process due to their short length. In this article, the use of a diffuse neural network that is capable of identifying the most relevant terms in a set of e-mails is proposed. The associations between these terms will be measured through association rules built with the term...

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Detalles Bibliográficos
Autores principales:	Lanzarini, Laura Cristina, Villa Monte, Augusto, Estrebou, César Armando
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2011
Materias:	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento Automatizado de Datos Internet
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9693 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr11-7.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9693
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento Automatizado de Datos Internet
spellingShingle	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento Automatizado de Datos Internet Lanzarini, Laura Cristina Villa Monte, Augusto Estrebou, César Armando E-Mail Processing with Fuzzy SOMs and Association Rules
topic_facet	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento Automatizado de Datos Internet
description	E-mail texts are hard to process due to their short length. In this article, the use of a diffuse neural network that is capable of identifying the most relevant terms in a set of e-mails is proposed. The associations between these terms will be measured through association rules built with the terms identified by the network. The metrics support, confidence and interest of the rules will be used to qualify the corresponding terms. The method proposed has been used to process 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 this type of analysis, the most common topics of student questions have been identified. Even though this new information can have various applications, they all involve, as a first instance, an improvement in student service.
format	Articulo Articulo
author	Lanzarini, Laura Cristina Villa Monte, Augusto Estrebou, César Armando
author_facet	Lanzarini, Laura Cristina Villa Monte, Augusto Estrebou, César Armando
author_sort	Lanzarini, Laura Cristina
title	E-Mail Processing with Fuzzy SOMs and Association Rules
title_short	E-Mail Processing with Fuzzy SOMs and Association Rules
title_full	E-Mail Processing with Fuzzy SOMs and Association Rules
title_fullStr	E-Mail Processing with Fuzzy SOMs and Association Rules
title_full_unstemmed	E-Mail Processing with Fuzzy SOMs and Association Rules
title_sort	e-mail processing with fuzzy soms and association rules
publishDate	2011
url	http://sedici.unlp.edu.ar/handle/10915/9693 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr11-7.pdf
work_keys_str_mv	AT lanzarinilauracristina emailprocessingwithfuzzysomsandassociationrules AT villamonteaugusto emailprocessingwithfuzzysomsandassociationrules AT estreboucesararmando emailprocessingwithfuzzysomsandassociationrules
bdutipo_str	Repositorios
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E-Mail Processing with Fuzzy SOMs and Association Rules

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