Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies

Data Mining is a discipline related to the development and application of techniques for the extraction of new and useful information from large amounts of available data. The goal of this paper is to use these techniques on data extracted from a poll in order to identify the pro les of the young pe...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Charnelli, María Emilia, Lanzarini, Laura Cristina, Baldino, Guillermo, Díaz, Francisco Javier
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42420
Aporte de:
id I19-R120-10915-42420
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
Buenos Aires (Argentina)
data mining
feature selection
classification and prediction techniques
computer science
spellingShingle Ciencias Informáticas
Buenos Aires (Argentina)
data mining
feature selection
classification and prediction techniques
computer science
Charnelli, María Emilia
Lanzarini, Laura Cristina
Baldino, Guillermo
Díaz, Francisco Javier
Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
topic_facet Ciencias Informáticas
Buenos Aires (Argentina)
data mining
feature selection
classification and prediction techniques
computer science
description Data Mining is a discipline related to the development and application of techniques for the extraction of new and useful information from large amounts of available data. The goal of this paper is to use these techniques on data extracted from a poll in order to identify the pro les of the young people showing interest in pursuing undergraduate studies in the eld of computer science. The paper describes the process of identification of the most salient features for high school students in a wide age range. It also includes the data preprocessing stage, fundamental in the process, as it strongly influences the development of the model obtained. Finally, results and conclusions are presented, as well as future lines of work.
format Objeto de conferencia
Objeto de conferencia
author Charnelli, María Emilia
Lanzarini, Laura Cristina
Baldino, Guillermo
Díaz, Francisco Javier
author_facet Charnelli, María Emilia
Lanzarini, Laura Cristina
Baldino, Guillermo
Díaz, Francisco Javier
author_sort Charnelli, María Emilia
title Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
title_short Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
title_full Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
title_fullStr Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
title_full_unstemmed Determining the profiles of young people from Buenos Aires with a tendency to pursue Computer Science studies
title_sort determining the profiles of young people from buenos aires with a tendency to pursue computer science studies
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42420
work_keys_str_mv AT charnellimariaemilia determiningtheprofilesofyoungpeoplefrombuenosaireswithatendencytopursuecomputersciencestudies
AT lanzarinilauracristina determiningtheprofilesofyoungpeoplefrombuenosaireswithatendencytopursuecomputersciencestudies
AT baldinoguillermo determiningtheprofilesofyoungpeoplefrombuenosaireswithatendencytopursuecomputersciencestudies
AT diazfranciscojavier determiningtheprofilesofyoungpeoplefrombuenosaireswithatendencytopursuecomputersciencestudies
bdutipo_str Repositorios
_version_ 1764820473627017218