首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Data Mining Techniques for Maintenance of Instances for Universities
  • 本地全文:下载
  • 作者:J.Kishore Kumar ; Dr A.Ravi Prasad ; S.Ramakrishna
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:475-476
  • 出版社:TechScience Publications
  • 摘要:Knowledge discovery in education organization have been built and operated mainly to support decision making using knowledge as strategic factor. In this paper, we investigate the use of various data mining techniques for knowledge discovery in education organization. Existing software are inefficient in showing such data characteristics. We introduce different exhibits for discovering knowledge in the form of association rules, clustering, classification and correlation suitable for data characteristics. Proposed data mining techniques, the decision- maker can give a clear idea of whether an organization is eligible for continuing its services or it has to be dropped.
  • 关键词:Result; Association rules; Clustering; Classification;Correlation; Data mining.
国家哲学社会科学文献中心版权所有