Early dropout prediction using data mining: a case study with high school students

Author:

Márquez-Vera Carlos1,Cano Alberto2ORCID,Romero Cristobal3,Noaman Amin Yousef Mohammad4,Mousa Fardoun Habib4,Ventura Sebastian34

Affiliation:

1. Universidad Autónoma de Zacatecas; Zacatecas Mexico

2. Virginia Commonwealth University; Richmond USA

3. Department of Computer Sciences and Numerical Analysis; University of Cordoba; Cordoba Spain

4. Information Systems Department; King Abdulaziz University; Jeddah Saudi Arabia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference57 articles.

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2. Anticipating students' failure as soon as possible;Antunes;Handbook of Educational Data Mining. CRC Press,2010

3. The state of educational data mining in 2009: a review and future visions;Baker;Journal of Educational Data Mining,2009

4. Bayer , J. Bydzovska , H. Geryk , J. Obsivac , T. Popelinsky , L. (2012) Predicting dropout from social behaviour of students

5. Speeding up the evaluation phase of GP classification algorithms on GPUs;Cano;Soft Computing,2012

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