Abstract
Clustering also called unsupervised learning algorithm & Association rule algorithm are the data mining techniques which can be used to discover rules & patterns from data. Course recommender system in E-Learning is used to predict the best combination of courses based student’s choice. Here in this paper we present how the combination of clustering algorithm- EM clustering Algorithm & association rule algorithm- Apriori Association Rule is useful in Course Recommender system. So we present this new approach & show how its result differs from the result of using only the association rule algorithm.
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Aher, S.B., Lobo, L.M.R.J. (2013). Prediction of Course Selection in E-Learning System Using Combined Approach of Unsupervised Learning Algorithm and Association Rule. In: Das, V.V., Chaba, Y. (eds) Mobile Communication and Power Engineering. AIM 2012. Communications in Computer and Information Science, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35864-7_22
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DOI: https://doi.org/10.1007/978-3-642-35864-7_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35863-0
Online ISBN: 978-3-642-35864-7
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