PREDICTION OF STUDENTS' SUCCESS IN MATHEMATICS BY A CLASSIFICATION TECHNIQUE VIA POLYHEDRAL CONIC FUNCTIONS

Year 2016, Volume: 5 , 190 - 195, 01.09.2016

Nur Uylas Sati

Abstract

There has been a lot of work that has been already
done using data mining in educational institutes and organizations and due to
great success, the people are getting more and more interested in this field.
In this paper a not long ago developped polyhedral conic functions
classification algorithm is applied to a dataset of student performance in
mathematics. Implemantations are made in MATLAB and WEKA. Results are shown in
tables. This method can be applied to various datasets related with education.
It will be helpfull for all educational fields.

Keywords

Educational data mining, classification, polyhedral conic functions, mathematics education

References

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