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  • 标题:Analysis of Student Result Using Clustering Techniques
  • 本地全文:下载
  • 作者:P.Veeramuthu ; Dr.R.Periyasamy ; V.Sugasini
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:5092-5094
  • 出版社:TechScience Publications
  • 摘要:One of the main concerns of higher educational system is evaluating and enhancing the educational organization. Educational data mining is an emerging discipline concern with developing methods for exploring the unique type of data that come from educational setting and using those methods to better understand students and the setting which they learn in. For better achieving this quality objective we think that these organizations need deep and enough knowledge to better do assessing, evaluating, planning and decision making process. Most of the required knowledge can be extracted from the historical and operational data that reside in the educational organization’s databases. Data mining techniques are analysis tools that can be used to extract meaningful knowledge from large data sets. This paper is designed to present and justify the capabilities of data mining in the context of higher educational system. The main contribution of the paper is an analysis model that represents the data mining processes.
  • 关键词:Data Mining; Educational Data Mining; Clustering;Higher Education System and Knowledge Discovery Data.
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