Data Mining Techniques Based Students Achievements Analysis

Year 2018, Volume: 13 Issue: 2, 53 - 59, 19.09.2018

Dönüş Şengür , Songül Karabatak

Abstract

In this work, data mining techniques are used to
determine the students’ achievements in Mathematic class. In other words, we
use the data mining techniques to determine if there is any link between the
student achievement and various student related data such as student grades,
demographic, social information and school related data. Data mining
techniques, Decision Tree (DT), Discriminant Analysis (DA), Support Vector
Machines (SVM), k-nearest neighbor (K-NN) and ensemble learner are used in
prediction purposes. A publicly available dataset is considered in experimental
works. Experimental works, on computer environment are carried out to validate
the data mining techniques. All data mining methodologies are simulated on
MATLAB environment with 5-fold cross-validation technique. The classification
performance is measured by accuracy and root mean square error (RMSE)
criterions. Three experimental setups and for each setup, three scenarios are
considered during experimentation. The obtained results are encouraging and the
comparison with some of the existing achievements shows the superiority of our
work. 

Keywords

Data Mining Techniques, Student’s Achievements, Classification, Regression

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