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  • 标题:Mining Association Rules in Students Assessment Data
  • 本地全文:下载
  • 作者:Anupama Chadha ; Varun Kumar
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:Higher education, throughout the world is delivered through universities, colleges affiliated to various universities and some other recognized academic institutes. Today one of the biggest challenges, the educational institutions face, is the explosive growth of educational data and to use this data to improve the quality of managerial decisions to deliver quality education. In this paper we will perform a case study of a university that hopes to improve the quality of education by analyzing the data and discover the factors that affect the academic results so as to increase success chances of students. In this perspective we use association rules discovery techniques. Also we will show the importance of data preprocessing in data analysis which has a significant impact on the accuracy of the predicted results.
  • 关键词:Higher education; Data mining; Knowledge discovery; Data preprocessing; Association rules
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