Analysis and Prediction of Students’ Academic Performance Based on Educational Data Mining
Author:
Affiliation:
1. School of Management, Guizhou University, Guiyang, China
Funder
Construction Project of 2017 First-Category Discipline in Guizhou Province: Big Data Discipline Group
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09714320.pdf?arnumber=9714320
Reference45 articles.
1. Comparing Different Resampling Methods in Predicting Students’ Performance Using Machine Learning Techniques
2. An efficient use of ensemble methods to predict students academic performance
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4. Intellectual capital and university performance in emerging countries
5. A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data
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