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Clustering in Educational Data Mining of Students Academic Performance
Abstract
It is a paper is using the “Educational Data Mining” and the higher education system of academic performance. It has been using various methods of clustering, classification, prediction algorithm, DM classifies and 3D cubes classification. Since the education rate increased in the competition of placement. Thus, the papers will consider the five potential faculties to measures the correlation attributes to improve the students’ academic performance. It is using the weak and real time data set. They can be the academic analytics and data mining in higher education course management system techniques. Thus, the concept of techniques and the data they produce might be useful to those who practice the scholarship of teaching and learning.
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References
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