Shannaq et al. [12], applied the classification as data mining
technique to predict the numbers of enrolled students by
evaluating academic data from enrolled students to study the
main attributes that may affect the students’ loyalty (number of
enrolled students). The extracted classification rules are based
on the decision tree as a classification method, the extracted
classification rules are studied and evaluated using different
evaluation methods. It allows the University management to
prepare necessary resources for the new enrolled students and
indicates at an early stage which type of students will
potentially be enrolled and what areas to concentrate upon in
higher education systems for support.