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文章基本信息

  • 标题:A Better Prediction for Higher Education Performance using the Decision Tree
  • 本地全文:下载
  • 作者:Anwar Hilal ; Abu Sarwar Zamani ; Sultan Ahmad
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2021
  • 卷号:21
  • 期号:4
  • 页码:209-213
  • DOI:10.22937/IJCSNS.2021.21.4.25
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.
  • 关键词:Data Mining; KDD; Algorithm; Extracting Patterns..
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