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Course recommender system aims at predicting the best combination of courses selected by students. Here in this paper, the authors present how the combination of clustering algorithm-Simple K-means Algorithm & association rule algorithm-Apriori Association Rule is useful in Course Recommender system. If they use only the Apriori association rule algorithm then they need to preprocess the data obtained from Moodle database. But if they use this combination of clustering & association rule then there is no need to preprocess the data. So they present this new approach & also present the result. To test the result they have used the open source data mining tool Weka.
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