استخدام تنقيب البيانات للتنبؤ بظاهرة تسرب طلبة الكلية بالتطبيق على كلية الإدارة و الاقتصاد

Abstract EN

The research aims to use some data mining techniques to predict the phenomenon of leakage of undergraduate students using a number of risk factors (tasks) ( the gender , the attendance , the former grade of students , the educational level of parents , friends , first child , working ) which are considered very important to Predict and by using the closet nearest neighbor algorithm (KNN).

The stepwise regression analysis haves been employed to determine the (most important) effective variables on the leakage phenomenon.

It has also been designed a database for the students of college of Administration & economics , with a computer system related on concerning with all registration affairs