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USING DATA MINING PREDICTIVE MODELS AND ALGORITHMS FOR STUDENT RELATIONSHIP MANAGEMENT IN HIGHER EDUCATION

Authors

Keywords
data mining, predictive modeling, analytical student relationship management

Summary
The goal of all higher educational institutions is quality assurance in education. One way to reach this goal is by improving the decision-making procedures on the basis of predictive models that give knowledge and understanding of the various administrative and educational processes. Usually this meaningful knowledge is hidden among the educational database.

The current research is focused on the examination of the possibilities to adapt the industrial data mining technology to customer relationship management and administration in higher education. Based on data mining predictive algorithms, a model for analytical student relationship management is designed and implemented in real world higher educational institution (Tsenov Academy of Economics).

JEL: -
Pages: 45
Price: 3 Points

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