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A Hybrid System: Neural Network with Data Mining in an e-Learning Environment

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Abstract

This paper proposed a hybrid system combining the self-organizing map (SOM) of a neural network with the data mining (DM) method, for course recommendations in the e-learning system. SOM systems have been successfully used in several domains of artificial intelligence. Although many researches focused on e-learning system implementation and personal curriculum design, they do not give e-learners useful suggestions for selecting potential courses according to their interests or background. In order to enhance the efficiency and capability of e-learning systems, we combined the SOM method to deal with the cluster problems of the DM systems, SOM/DM for short. The experiment was carried out in a business college of a university in Taiwan, by applying the SOM/DM method to recommend courses to e-learners. The results indicated that the SOM/DM method has excellent performance.

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© 2007 Springer-Verlag Berlin Heidelberg

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Tai, D.WS., Wu, HJ., Li, PH. (2007). A Hybrid System: Neural Network with Data Mining in an e-Learning Environment. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_6

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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