Student s Performance Classification on Virtual Learning Environment Using Data Mining Techniques

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ABSTRACT
In many organizations, data mining techniques are used for analyzing large amount of
available data’s, information’s for decision making process. In educational sector, Data
mining is used for wide variety of application’s such as performance of the students like
mark, attendance, staff opinion, extracurricular activities, Ragging and stress. The data
mining techniques used for identifying the performance of the student using Naïve Bayes,
K-means, KNN and Lasso algorithms. These two algorithm’s identifies and analyses the
performance of the student.