Data mining to identify risk factors associated with university students dropout

. This paper presents the identification of university students dropout patterns by means of data mining techniques. The database consists of a series of questionnaires and interviews to students from several universities in Colombia. The information was processed by the Weka software following the...

Full description

Autores:

Viloria Silva, Amelec Jesus
Castro Sarmiento, Alex
María Santodomingo, Nicolás
María Santodomingo, Nicolas Elias
Márquez Blanco, Norka
Cadavid Basto, Wilmer
Hernández P, Hugo
Navarro Beltrán, Jorge
de la Hoz Hernández, Juan
Romero, Ligia

Tipo de recurso:

http://purl.org/coar/resource_type/c_816b

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/5225

Acceso en línea:

https://hdl.handle.net/11323/5225
https://repositorio.cuc.edu.co/

Palabra clave:

Knowledge extraction process
Tutoring
Decision making
Data mining

Rights

openAccess

License

Attribution-NonCommercial-ShareAlike 4.0 International