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

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.