Student Prediction System Using Data Mining Algorithm- Survey
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Student prediction system proposal is efficient approach for classifying student data based on merit. Classifying students based on merit is a tedious task when the student number and concern subject are high for placements. We propose student data classification using many approaches like Decision Tree, C4.5 algorithms, ID3 algorithm, Genetic Algorithm, and Neural Network. This may be lead to efficient use of student education data base for placement and non placement classes.
Authors and Affiliations
Ravi Kumar Rathore, J. Jayanthi, Gurpreet Kaur
Keywords
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