Data mining is apowerful analytical tool that enables educational institutions to betterallocate resources and proactively manage student outcomes. The managementsystem can improve their policies, enhance their strategies and thereby improvethe quality of whole education system. Data Mining could be used to improveeducational business intelligence process to enhance the overall efficiency byoptimizing the utility of the available resources in universities.
Theperformance and success of students in the examination as well as their overallpersonality development could be exponentially accelerated by thoroughlyutilizing Data Mining technique to evaluate their admission, academicperformance and finally the placement.Now-a-daysthe amount of data stored in educational database is increasing rapidly. Thesedatabases contain useful information for improvement of students’performance. As academic performance isinfluenced by many factors, therefore it is essential to develop predictivedata mining model for students’ performance so as to identify the differencebetween high learners and slow learners. 5Thisemerging research area in this regard is known as Educational Data Mining (EDM)25, 26, 27, 28.
The main focus of EDM is discovering the unique types of datathat come from educational systems and tools. This is done by rising methods tosupport students and the educational settings they use.It is proven that educationis of vital importance in the development and success of any country. Datamining is a powerful tool for exploring data andorganizing it into multiple levels of meaningful hierarchy, in order to discovernew insights about how people learn in the context of differentsituations. For example, in extreme loadshedding how student manage to study or after a terror attack how student feelto go to education place.
More over how these situations affect their grades.