Data mining is a powerful analytical tool that enables
educational institutions to better allocate resources and staff,
and proactively manage student outcomes. With the ability
to uncover hidden patterns in large databases, community
colleges and universities can build models that predict with
a high degree of accuracy the behavior of population
clusters. By acting on these predictive models, educational
institutions can effectively address issues ranging from
transfers and retention, to marketing and alumni relations.
The goal of education is to help people, especially young
people, to participate in the functions of society, to acquire
knowledge and to develop skills that will help them to
confront the needs of the future and to be productive and
competitive in tomorrow’s world. This research paper is
intended to enhance the quality of the higher educational
system by focusing on using the data mining techniques.
Using this research, the University will have the ability to
predict the students loyalty (numbers of enrolled students)
so they can manage and prepare necessary resources for the
new enrolled students. Moreover, the higher managements
can use the classification model to enhance the University
resources according to the extracted knowledge. It is certain
that the future holds a lot of surprises. It is another major
task for education to prepare all resources that give young
people the qualities and the skills for the jobs that do not
exist yet and we believe that this research paper can help
considerably towards that. It should also be a major task of
the educational system to provide these qualities and skills
in an enjoyable and modern way.