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A Survey on Clustering Techniques of Webinars to Support E-Learning Using Data Mining

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

This paper performs a detailed discussion about the clustering techniques being proposed by different researchers on Webinars in such a way to support E-Learning Methods. The growth of information technology has lead the learning methods towards webinar where the learner need not go to the place of the tutor or the institution. In providing efficient learning methods and to provide exact information to the learner, clustering the webinar’s become more important. To solve the problem of clustering webinar’s there are different approaches has been discussed from content based, context based, text based, Speech analysis based, and Ontology based. Each of the approach has their own merits and demerits. Also in the clustering, there are approaches like supervised and unsupervised and hierarchical clustering has been discussed. We explore each of them in detail and perform the analysis of each technique according to their performance in supporting E-Learning. The paper also discusses about different data mining techniques could be adapted for E-Learning in detail.

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Keywords

Learning, Clustering, Data Mining, Webinar, Semantic Ontology.

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  • Format Volume 5, Issue 1, No 25, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author S.Gopika, Dr.M.Vanitha
  • Reference IJCS-278
  • Page No 1800-1815

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