Analysis of data mining techniques for constructing a predictive model for academic performance
This paper presents and analyzes the experience of applying certain data mining methods and techniques on 932 Systems Engineering students data, from El Bosque University in Bogotá, Colombia; effort which has been pursued in order to construct a predictive model for students academic performance. Pr...
- Autores:
-
Merchán Rubiano, Sandra Milena
Duarte Garcia, Jorge Alberto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/3527
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/3527
https://doi.org/10.1109/TLA.2016.7555255
https://repositorio.unbosque.edu.co
- Palabra clave:
- Courseware
Education
Artificial intelligence
Data mining
Predictive modeling
Academic risk prevention
- Rights
- openAccess
- License
- Acceso abierto