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  • 标题:A Machine Learning Approach for Understanding Student Learning Experience Using Naive Bayes Classification
  • 本地全文:下载
  • 作者:V. Abinaya ; Dr. B. Srinivasan
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:2
  • 页码:883
  • DOI:10.15680/IJIRCCE.2018.0602034
  • 出版社:S&S Publications
  • 摘要:Data mining is the research challenge of the "Studying Discovery in database" and retrievinginformation from the warehouse is not only tedious but also difficult in some cases. The existing algorithm does notprovide fast computation and better result. The classification assignment is classified with the aid of the well-describedlessons, and a training set along with reclassified examples and Naive Bayes algorithm has been used to predictstudents learning experience from social network. Such as Twitter, Face Book and Tumblr. Naive Bayes is aclassification algorithm for binary (elegance) and multi-magnificence type issues. These machine has been used for thesupervised gaining knowledge of method for the corporation of categorized the feedback statistics on social media andNaive Bayes algorithm is classified into the scholars records set.
  • 关键词:Educational data mining; Naive Bayes Classifier; weka tool; social media.
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