Classification via Clustering for Subject-based Scientific Fields in Kindergarten Students
Author:
Affiliation:
1. Universitas Negeri Surabaya,Department of Informatics,Surabaya,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347564/10348180/10348346.pdf?arnumber=10348346
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1. The impact of engineering students' performance in the first three years on their graduation result using educational data mining
2. Feature Selection Algorithms For Predicting Students Academic Performance Using Data Mining Techniques;Enaroand,2020
3. Predicting student performance using data from an auto-grading system;Chen,2019
4. Predicting academic performance by considering student heterogeneity
5. An overview and comparison of supervised data mining techniques for student exam performance prediction
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