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EM&AA: An Algorithm for Predicting the Course Selection by Student in e-Learning Using Data Mining Techniques

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Abstract

Recommendation systems have been widely used in internet activities whose aim is to present the important and useful information to the user with little effort. Course Recommendation System is system which recommends to students the best combination of courses in engineering education system e.g. if student is interested in course like system programming then he would like to learn the course entitled compiler construction. The algorithm with combination of two data mining algorithm i.e. combination of Expectation Maximization Clustering and Apriori Association Rule Algorithm have been developed. The result of this developed algorithm is compared with Apriori Association Rule Algorithm which is an existing algorithm in open source data mining tool Weka.

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Authors and Affiliations

  1. Department of Computer Science Engineering, Walchand Institute of Technology, Solapur, 413006, Maharashtra, India

    Sunita B. Aher

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  1. Sunita B. Aher
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Correspondence to Sunita B. Aher.

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Aher, S.B. EM&AA: An Algorithm for Predicting the Course Selection by Student in e-Learning Using Data Mining Techniques. J. Inst. Eng. India Ser. B 95, 43–54 (2014). https://doi.org/10.1007/s40031-014-0074-3

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  • DOI: https://doi.org/10.1007/s40031-014-0074-3

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