Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. Data mining is the best solution to finding hidden patterns and giving s...

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Bibliographic Details
Main Authors: Alaa Khalaf Hamoud, Ali Salah Hashim, Wid Aqeel Awadh
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2018-09-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Decision Tree
J48
Prediction
Random Tree
REPTree
Students’ Success
Weka
Online Access:http://www.ijimai.org/journal/node/2114

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