Applicability of data mining algorithms for recommendation system in e-learning

  • Authors:
  • Sunita B. Aher;Louis Lobo

  • Affiliations:
  • Solapur University, India;Solapur University, India

  • Venue:
  • Proceedings of the International Conference on Advances in Computing, Communications and Informatics
  • Year:
  • 2012

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Abstract

In this paper we consider the applicability of data mining algorithms such as clustering & association rule algorithm for recommending the courses to the student in E-Learning System e.g. the student who liked to study the course "Operating System" is quite like to study the course "Distributed System". We develop the algorithm in java which is the combination of Simple K-means clustering & Apriori association rule algorithm. The result we obtained using these combinations are compared with the result we get using open source data mining tool, Weka & present the same. Results using this developed algorithm contain more number of association rules as compare to the result we obtained using the Weka.