TY  - JOUR
TT  - PREDICTION OF STUDENTS' SUCCESS IN MATHEMATICS BY A CLASSIFICATION TECHNIQUE VIA POLYHEDRAL CONIC FUNCTIONS
AU  - Uylas Sati, Nur
PY  - 2016
DA  - September
JF  - The Eurasia Proceedings of Educational and Social Sciences
JO  - EPESS
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2587-1730
SP  - 190
EP  - 195
VL  - 5
KW  - Educational data mining
KW  - classification
KW  - polyhedral conic functions
KW  - mathematics education
N2  - There has been a lot of work that has been alreadydone using data mining in educational institutes and organizations and due togreat success, the people are getting more and more interested in this field.In this paper a not long ago developped polyhedral conic functionsclassification algorithm is applied to a dataset of student performance inmathematics. Implemantations are made in MATLAB and WEKA. Results are shown intables. This method can be applied to various datasets related with education.It will be helpfull for all educational fields.
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UR  - https://dergipark.org.tr/en/pub/epess/issue//334519
L1  - https://dergipark.org.tr/en/download/article-file/334813
ER  -