Data mining
This study is a data mining application program for student graduation classification using the Nave Bayes method, which is expected to help educators complete their studies on time and develop their ability to increase accreditation in their research programs.
Abstract
Abstract A student's ability to complete a study according to a designated time is an important factor in assessing university accreditation. A good accreditation shows the image of a university. The problem that arises is that many students miss the completion of their studies, which hinders the certification of their learning programs. The purpose of this study is to design an application program that can support student graduation-related decisions. This study applies the Nave Bayesian method, which can predict future opportunities based on past experience at the University of Al- Ashalia Mander, School of Computer Science, and Information Systems Research Program. This study is a data mining application program for student graduation classification using the Nave Bayes method, which is expected to help educators complete their studies on time and develop their ability to increase accreditation in their research programs. The design was successful.