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  • 标题:Web-Based Data Mining Tools : Performing Feedback Analysis and Association Rule Mining
  • 本地全文:下载
  • 作者:Pratiyush Guleria ; Akshay Sharma ; Manu Sood
  • 期刊名称:International Journal of Data Mining & Knowledge Management Process
  • 印刷版ISSN:2231-007X
  • 电子版ISSN:2230-9608
  • 出版年度:2015
  • 卷号:5
  • 期号:6
  • 页码:35
  • DOI:10.5121/ijdkp.2015.5603
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper aims to explain the web-enabled tools for educational data mining. The proposed web-basedtool developed using Asp.Net framework and php can be helpful for universities or institutions providingthe students with elective courses as well improving academic activities based on feedback collected fromstudents. In Asp.Net tool, association rule mining using Apriori algorithm is used whereas in php basedFeedback Analytical Tool, feedback related to faculty and institutional infrastructure is collected fromstudents and based on that Feedback it shows performance of faculty and institution. Using that data, ithelps management to improve in-house training skills and gains knowledge about educational trends whichis to be followed by faculty to improve the effectiveness of the course and teaching skills.
  • 关键词:Academic; Apriori; Asp.Net; Feedback; Knowledge; Mining; Php
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