A Model to Predict Low Academic Performance at a Specific Enrollment Using Data Mining-Reference-Cited by-同舟云学术

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A Model to Predict Low Academic Performance at a Specific Enrollment Using Data Mining

Published:2015-08 Issue:3 Volume:10 Page:119-125
ISSN:1932-8540
Container-title:IEEE Revista Iberoamericana de Tecnologias del Aprendizaje
language:
Short-container-title:IEEE R. Iberoamericana Tecnologias Aprendizaje

Author:

Lopez Guarin Camilo Ernesto,Guzman Elizabeth Leon,Gonzalez Fabio A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,Education

Link

http://xplorestaging.ieee.org/ielx7/6245520/7303991/07156098.pdf?arnumber=7156098

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ECSYAPPS – A framework for analyzing the effectiveness of classification techniques for early prediction of students academic performance in education sector;Engineering Applications of Artificial Intelligence;2024-08

2. An Effective Optimization in Education System using Decision Support Systems;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-05-20

3. Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students;Journal of The Institution of Engineers (India): Series B;2024-02-04

4. Students’ Habits, Strategies, and Decisive Factors Around Course Selection;Lecture Notes in Networks and Systems;2024

5. A survey to enhance learning management systems to increase productivity of the students and their performance;AIP Conference Proceedings;2024

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