Methodology Preview on Predicting Students Professional Identity Using Data Mining Techniques

This methodology aimed to predict Professional Identity Development (PID) of Altinbas University students using survey called Professional Identity Five Factor Scale(PIFFS) which will be applied to sample of the students and analyzing the results using data mining techniques and machine learning algorithms. The accuracy and speed comparison will be generated between single and distributed database of the corresponding survey data which is launched to a local web server(apache) in comparison to windows Azure (as cloud server) to clarify the effect of using different platforms and database techniques on prediction accuracy.