期刊文献+

院校数据仓库架构与建设的过程研究 被引量:16

The process study on the structure and construction of the data warehouse of colleges and universities
下载PDF
导出
摘要 为加强信息完整性与一致性、改进信息实时性、提升数据质量和共享程度,更好地支持数据挖掘与决策,高校需要搭建统一、全方位的数据仓库。文章基于中国大学数据仓库设计与应用的实际过程,对数据仓库的总体架构、建设过程、基础平台等方面进行简述,以期构建支撑决策管理、提高科研和辅助教学一体化的服务体系,进而为高校智能体系建设奠定基础,促进高校跨越式发展。 To enhance information integrity and consistency, improve information timeliness, promote data quality and sharing, and better support data mining and decision-making, a comprehensive and in- tegrated data warehouse is to be built within the colleges. Based on the actual process of data ware- house design and application of Chinese colleges, this paper summarizes the overall structure, con- struction process and basic platform of the data warehouse in a bid to construct a service system sup- porting decision-making management and facilitating the integration of teaching and research, which may lay the foundation for intelligent system construction, and promote the leap-forward development of higher education institutions.
作者 张端鸿 刘波 卞月妍 ZHANG Duanhong LIU Bo BIAN Yueyan(Institute of Higher Education, Tongji University Information Center, Tongji University, Shanghai 200092, China)
出处 《高校教育管理》 CSSCI 北大核心 2017年第2期26-33,共8页 Journal of Higher Education Management
基金 教育部人文社会科学基金(14YJC880107)
关键词 院校研究 数据仓库 基础数据平台 逻辑模型 institutional research data warehouse basic data platform logical model
  • 相关文献

参考文献8

二级参考文献58

  • 1何秉姣.关于数据仓库中数据模型构建的研究[J].国外建材科技,2002,23(3):23-25. 被引量:2
  • 2陈涛,邓斌.数据仓库技术在高等学校的应用研究[J].山东农业大学学报(自然科学版),2005,36(4):591-594. 被引量:6
  • 3于宁,王行言,罗念龙.高校教学决策支持系统数据仓库的研究与实现[J].计算机工程与设计,2006,27(20):3853-3857. 被引量:23
  • 4谢邦昌.数据挖掘Clementine应用实物[M].北京:机械工业出版社,2008. 被引量:1
  • 5Applying Data Mining Techniques Using SAS Enterprise Miner[M].Cary,USA:The SAS Institute,2005. 被引量:1
  • 6Michael J.A.Berry &Gordon S.Linoff.Data Mining Techniques for Marking,Sales,and Customer Relationship Management[M].Indianapolis,USA:Wiley Publishing,2004. 被引量:1
  • 7Lin Chang.Applying Data Mining to Predict College Admissions Yield:A Case Study[G]//Jing Luan &Chun-Mei Zhao.Data Mining in Action:Case Studies of Enrollment Management:New Directions for Institutional Research.San Francisco,USA:Jossey-Bass,2006. 被引量:1
  • 8Jing Luan.Data Mining and Its Applications in Higher Education[G] //Andreea M Serban and Jing Luan (eds.),Knowledge Management:Building a Competitive Advantage in Higher Education:New Directions for Institutional Research.San Francisco,USA:JosseyBass,2002. 被引量:1
  • 9Chris Dede &Jody Clarke.Data Mining as an Emerging Means of Assessing Student Learning[C].Presented at EDUCAUSE Annual Conference,2007. 被引量:1
  • 10National Survey of Student Engagement.Experience That Matters:Enhancing Student Learning and Success[R].2007. 被引量:1

共引文献74

同被引文献136

引证文献16

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部