Data Mining application to decision-making processes in University Management
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364 |
Resumo: | This article aims at identifying and characterizing the different configurations of the relevant factors related to administrative procedures, in order to learn about their behavior, and so about decision-making processes. Delays in administrative circuit concretion, users dissatisfaction and lack of autonomy are among the problematics leading to the diagnosis of the situation, so as to detect the elements playing key parts in said scenario. Data analyzed was collected from files and notes submitted by the middle management, i.e., pedagogical areas and departments at a Higher Education institution in Argentina, the School of Economic and Social Sciences, FCEyS, of the Universidad Nacional de Mar del Plata, UNMdP, throughout 2002 - 2005. Knowledge acquired through data mining techniques in their character of strategic knowledge, turns out to be potentially useful in the diagnosis of administrative circuit problematics in university environments. Besides, it is particularly beneficial in institutional decision-making processes, promoting plan of action deigns for an efficacious administrative management. |
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Data Mining application to decision-making processes in University ManagementDecision-Making Process - Data Mining – Knowledge Discovery- Administrative Circuits - Higher Education Institutions.This article aims at identifying and characterizing the different configurations of the relevant factors related to administrative procedures, in order to learn about their behavior, and so about decision-making processes. Delays in administrative circuit concretion, users dissatisfaction and lack of autonomy are among the problematics leading to the diagnosis of the situation, so as to detect the elements playing key parts in said scenario. Data analyzed was collected from files and notes submitted by the middle management, i.e., pedagogical areas and departments at a Higher Education institution in Argentina, the School of Economic and Social Sciences, FCEyS, of the Universidad Nacional de Mar del Plata, UNMdP, throughout 2002 - 2005. Knowledge acquired through data mining techniques in their character of strategic knowledge, turns out to be potentially useful in the diagnosis of administrative circuit problematics in university environments. Besides, it is particularly beneficial in institutional decision-making processes, promoting plan of action deigns for an efficacious administrative management.Editora da UFLA2007-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364INFOCOMP Journal of Computer Science; Vol. 6 No. 1 (2007): March, 2007; 57-651982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364/348Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessGarcía, Juan CarlosZanfrillo, Alicia Inés2015-06-27T23:29:27Zoai:infocomp.dcc.ufla.br:article/364Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:34.513715INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Data Mining application to decision-making processes in University Management |
title |
Data Mining application to decision-making processes in University Management |
spellingShingle |
Data Mining application to decision-making processes in University Management García, Juan Carlos Decision-Making Process - Data Mining – Knowledge Discovery- Administrative Circuits - Higher Education Institutions. |
title_short |
Data Mining application to decision-making processes in University Management |
title_full |
Data Mining application to decision-making processes in University Management |
title_fullStr |
Data Mining application to decision-making processes in University Management |
title_full_unstemmed |
Data Mining application to decision-making processes in University Management |
title_sort |
Data Mining application to decision-making processes in University Management |
author |
García, Juan Carlos |
author_facet |
García, Juan Carlos Zanfrillo, Alicia Inés |
author_role |
author |
author2 |
Zanfrillo, Alicia Inés |
author2_role |
author |
dc.contributor.author.fl_str_mv |
García, Juan Carlos Zanfrillo, Alicia Inés |
dc.subject.por.fl_str_mv |
Decision-Making Process - Data Mining – Knowledge Discovery- Administrative Circuits - Higher Education Institutions. |
topic |
Decision-Making Process - Data Mining – Knowledge Discovery- Administrative Circuits - Higher Education Institutions. |
description |
This article aims at identifying and characterizing the different configurations of the relevant factors related to administrative procedures, in order to learn about their behavior, and so about decision-making processes. Delays in administrative circuit concretion, users dissatisfaction and lack of autonomy are among the problematics leading to the diagnosis of the situation, so as to detect the elements playing key parts in said scenario. Data analyzed was collected from files and notes submitted by the middle management, i.e., pedagogical areas and departments at a Higher Education institution in Argentina, the School of Economic and Social Sciences, FCEyS, of the Universidad Nacional de Mar del Plata, UNMdP, throughout 2002 - 2005. Knowledge acquired through data mining techniques in their character of strategic knowledge, turns out to be potentially useful in the diagnosis of administrative circuit problematics in university environments. Besides, it is particularly beneficial in institutional decision-making processes, promoting plan of action deigns for an efficacious administrative management. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/364/348 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 6 No. 1 (2007): March, 2007; 57-65 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874741418328064 |