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K‐means clustering can be highly accurate when the number of clusters and the initial cluster centre are appropriate. An inappropriate determination of the number of clusters or the initial cluster centre decreases the accuracy of K‐means clustering. However, determining these values is problematic. To solve these problems, we used density‐based spatial clustering of application with noise (DBSCAN)...
The aim of the study reported here was to predict students' grades based on context and personal state variables. Motivation for the study derives from the need to provide accurate recommendations about both educational resources and activities that match students' requirements and expectations. The proposed prediction method takes advantage of information associated with the context variables of...
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