Classification of users by using support vector machines

Authors:
Marian Cristian Mihăescu
Affiliations:
University of Craiova, Craiova, Romania
Venue:
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Year:
2012

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Abstract

Proper classification of students is one of the key aspects in e-Learning environments. This paper uses support vector machines (SVM) for classifying users whose features are represented by the performed activity. The classification of students is performed at discipline level since the features are related only to general activities. The output of the process is represented by a set of classes. The obtained classes are further used for classifying new users, whose activity data has not been used for building the classifier.