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.
Educational data mining classification polyhedral conic functions mathematics education
Bölüm | Articles |
---|---|
Yazarlar | |
Yayımlanma Tarihi | 1 Eylül 2016 |
Yayımlandığı Sayı | Yıl 2016 Cilt: 5 |