Students' Timely Graduation Attributes Prediction Using Feature Selection Techniques, Case Study: Informatics Engineering Bachelor Study Program
Author:
Affiliation:
1. Universitas Mikroskil,Dept. of Informatics Engineering,Medan,Indonesia
2. Universitas Mikroskil,Dept. of Information System,Medan,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10034843/10034860/10034873.pdf?arnumber=10034873
Reference37 articles.
1. Students' Academic Performance Prediction using Data Mining
2. Optimization Feature Selection for Classifying Student in Educational Data Mining;regha;International Journal of Innovations in Engineering and Technology (IJIET),2016
3. Using Data Mining to Predict Secondary School Student Performance;cortez;Proceedings of 5th FUture Business Technology Conference (FUBUTEC 2008),2008
4. Modeling and Predicting Students’ Academic Performance Using Data Mining Techniques
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