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

  • David Wen-Shung Tai
  • Hui-Ju Wu
  • Pi-Hsiang Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

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.

Keywords

Artificial Neural Network Association Rule Mining Data Mining System Visual Basic Program Quantitative Association Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • David Wen-Shung Tai
    • 1
  • Hui-Ju Wu
    • 1
  • Pi-Hsiang Li
    • 1
  1. 1.Department of Industrial Education and Technology, National Changhua University of Education, Changhua, 500, TaiwanROC

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