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The path for the students must be traced efficiently in educational environment and this becomes the greatest difficulty. For example, institutions must know a student's choice to enroll in particular course, and the number of students must be concentrated in order to excel in their studies. The most efficient and effective way to handle these is through the analysis and presentation of data, or more specifically data mining. Data mining patterns are then used to build data mining models and used to predict individual behavior with high accuracy. As a result of this insight, institutions are able to concentrate on their academics more efficiently. This paper will present an overview of the different processes and techniques involved in data mining and its applications in higher education.
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