期刊文献+

高校数据精简整合系统管理研究 被引量:3

Research on Management of University Data Simplification & Integration System
下载PDF
导出
摘要 [目的/意义]研究高校数据精简系统对高校实现信息集成,打破部门之间的信息鸿沟,使信息在整个校园网内得到共享具有重要意义。[方法/过程]以高校信息系统记录级的脏数据为研究对象,阐述无主键数据和有主键数据的不同处理流程,构建一套基于共享池的高校信息系统数据精简框架。[结果/结论]这套精简系统可满足高校信息集成过程中的数据精简需要,提高信息共享效率。 [Purpose/significance]Study on university data simplification integration system is significant for promoting integration of university informa tion, breaking the divisions among departments, and sharing information in the whole campus network.[Method/process] The paper takes record level dirty data in university information system as research object, elaborates the different handling processes for data with and without primary key, and establishes a sharing pool-based data simplification framework of university information system. [Result/conclusion] The simplification system can satisfy the demand for data simplification in university information integration process, and improves information sharing efficiency.
出处 《情报探索》 2016年第4期83-87,92,共6页 Information Research
基金 中国高教学会信息化专项课题"高校异构网站与业务系统信息抽取与精简整合研究"(项目编号:2014XXH1204YB) 福建省高校教育信息化学会课题"高校异构网站与业务系统信息抽取与精简整合研究"(项目编号:2014FB003) 福建省软科学课题"高校异构网站与业务系统信息抽取与精简整合研究"(项目编号:2014R00051) 福建省2015中青年教师科研项目"高校异构网站与业务系统信息抽取与精简整合研究"(项目编号:JA15051)成果之一
关键词 高校 数据精简 数据整合 共享池 university data simplification data integration sharing pool
  • 相关文献

参考文献10

二级参考文献54

  • 1Ktmball R.Dealing with dirty data[J].DBMS,1996,9(10):55-57.
  • 2Lee M L,Lu H,Ling T W,et al.Cleansing data for mining and warehousing[A].In:Proceedings of the 10th International Conference on Database and Expert Systems Applications,1999.751-760.
  • 3Hernandez M,Stolfo S.The merge/purge problem forlarge databases[A].In:Proceedings of the ACM SIGMOD International Conference on Management of Data.1995,127-138.
  • 4Levenshtein V.Binary codes capable of correcting deletions[J].Insertions and Reversals.Soviet Physics-Doklady10.1966,10:707-710.
  • 5Monge A,Elkan C.The field-matching problem:algorithm and applications[A].In:Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.1996.
  • 6Salton G,Buckley C.Term-weighting approaches in automatic text retrieval[J].Information Processing and Management,1988,24(5):513-523.
  • 7Lee M L,Ling T W,Low W L.IntelliClean:a knowledge-based intelligent data cleaner[A].In:Proceeding of SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery.2000,290-294.
  • 8McCallum A,Nigam K,Ungar L.Efficient clustering of high-dimensional data sets with application to reference matching[A].In:Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining,2000.169-178.
  • 9M A Hernandez, S J Stolfo. The Merge/Purge Problem for Large Databases[A]. Proc of the ACM SIGMOD Int'l Conf on Management of Data[C]. 1995. 127-138.
  • 10M A Hernandez, S J Stolfo. Real-World Data Is Dirty: Data Cleansing and the Merge/Purge Problem [J]. Data Mining and Knowledge Discovery, 1999,2 (1): 9-37.

共引文献320

同被引文献20

引证文献3

二级引证文献9

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