Data Management

Intelligent System for Higher Education System using Data Mining Techniques

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Executive Summary

Information systems used at higher education institution support essentially academic management processes like student's registration, students and staff management, and student's marks, among others. These systems do not permit the closely monitoring of student's academic activities, the evaluation of their academic success and the support of academic activities concerning with teaching and tutoring. This paper makes use of cluster analysis to segment students into groups according to their characteristics and also will help the teachers to reduce the drop out ratio to a significant level and improve the performance of students.

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