Characterization of university drop-out at UNRN using data mining. A study case

At the National University of Río Negro (UNRN), and its Atlantic Coast Delegation in particular, it is an increasing concern for the courses corresponding to the Bachelor's Degree in Systems, the drop-out and crumbling rates observed in the first four years of the Institution. This paper descri...

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Autores principales: Formia, Sonia, Lanzarini, Laura Cristina, Hasperué, Waldo
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2013
Materias:
Ciencias Informáticas
attribute selection
attribute projection
data mining
Computer Uses in Education
university drop-out
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/32363
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-32363
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
attribute selection
attribute projection
data mining
Computer Uses in Education
university drop-out
spellingShingle Ciencias Informáticas
attribute selection
attribute projection
data mining
Computer Uses in Education
university drop-out
Formia, Sonia
Lanzarini, Laura Cristina
Hasperué, Waldo
Characterization of university drop-out at UNRN using data mining. A study case
topic_facet Ciencias Informáticas
attribute selection
attribute projection
data mining
Computer Uses in Education
university drop-out
description At the National University of Río Negro (UNRN), and its Atlantic Coast Delegation in particular, it is an increasing concern for the courses corresponding to the Bachelor's Degree in Systems, the drop-out and crumbling rates observed in the first four years of the Institution. This paper describes the process of identifying the most relevant features of the problem through which, using Data Mining (DM) techniques, a college drop-out model can be obtained for the academic unit mentioned above. In order to identify the most relevant features, after processing the data we will analyze attribute projections for the expected classes or responses. The results of its application to the student data from the courses of the UNRN have been satisfactory, which allows making some recommendations aimed at reducing the percentage of students who drop put from their courses.
format Objeto de conferencia
Objeto de conferencia
author Formia, Sonia
Lanzarini, Laura Cristina
Hasperué, Waldo
author_facet Formia, Sonia
Lanzarini, Laura Cristina
Hasperué, Waldo
author_sort Formia, Sonia
title Characterization of university drop-out at UNRN using data mining. A study case
title_short Characterization of university drop-out at UNRN using data mining. A study case
title_full Characterization of university drop-out at UNRN using data mining. A study case
title_fullStr Characterization of university drop-out at UNRN using data mining. A study case
title_full_unstemmed Characterization of university drop-out at UNRN using data mining. A study case
title_sort characterization of university drop-out at unrn using data mining. a study case
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/32363
work_keys_str_mv AT formiasonia characterizationofuniversitydropoutatunrnusingdataminingastudycase
AT lanzarinilauracristina characterizationofuniversitydropoutatunrnusingdataminingastudycase
AT hasperuewaldo characterizationofuniversitydropoutatunrnusingdataminingastudycase
bdutipo_str Repositorios
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