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

机译:一种混合系统:在电子学习环境中采用数据挖掘的神经网络

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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.
机译:本文提出了一种混合系统,将神经网络的自组织地图(SOM)与数据挖掘(DM)方法组合,以便在电子学习系统中的课程建议。 SOM系统已成功用于人工智能的几个领域。虽然许多研究侧重于电子学习系统的实施和个人课程设计,但它们并没有为电子学习者提供有助于根据其兴趣或背景选择潜在课程的有用建议。为了提高电子学习系统的效率和能力,我们将SOM方法组合处理DM系统的集群问题,SOM / DM短。通过应用SOM / DM方法向电子学习者推荐课程,在台湾大学商学院进行了实验。结果表明,SOM / DM方法具有出色的性能。

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