期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于异构数据抽取清洗模型的元数据的研究 被引量：5

Research on Metadata Based on Model of Heterogeneous Data Extracting and Cleaning
下载PDF
导出
摘要 异构数据的抽取和清洗是企业内外异构信息统一的必由之路。基于此,该文以自行开发的ETL工具为背景,分析了异构数据抽取清洗模型的结构以及实现方式,并集中论述了其中元数据的结构。 Heterogeneous data extracting and cleaning is a necessary approach to integrate heterogeneous information inside and outside enterprise.This paper regards ETL of certain tool as background,analyses the structure and realized method of model of heterogenous data extracting and cleaning based on metadata.Finally concentrates in expounding the structure of metadata.
作者 邓莎莎 陈松乔
机构地区 中南大学信息科学与工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2004年第30期175-177,共3页 Computer Engineering and Applications
关键词 元数据 数据清洗 数据仓库 metadata,data cleaning,Data Warehouse
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献5

  • 1P Vassiliadis,Z vagena,S Skiadopoulos et al. Arktos:A Tool For Data Cleaning and Transformation in Data Warehouse Environments[J].Data Engineering,2000;23(4) :42～47
  • 2郭志懋,周傲英.数据质量和数据清洗研究综述[J].软件学报,2002,13(11):2076-2082. 被引量：264
  • 3Erhard Rahm,H Hai Do. Data Cleaning:Problem and Current Approaches [J].Data Engineering,2000;23(4):3～13
  • 4H Galhardas, D Florescu, D Shasha. Declarative Data Cleaning: Language,Model,and Algorithms[C].In:VLDB 2001,Rome Italy,2001
  • 5W H Inmon,R D Hackathorn. Using the Data Warehouse[M].John Wiley & sons ,Inc, 1994

二级参考文献24

  • 1Aebi, D., Perrochon, L. Towards improving data quality. In: Sarda, N.L., ed. Proceedings of the International Conference on Information Systems and Management of Data. Delhi, 1993. 273～281.
  • 2Wang, R.Y., Kon, H.B., Madnick, S.E. Data quality requirements analysis and modeling. In: Proceedings of the 9th International Conference on Data Engineering. Vienna: IEEE Computer Society, 1993. 670～677.
  • 3Rahm, E., Do, H.H. Data cleaning: problems and current approaches. IEEE Data Engineering Bulletin, 2000,23(4):3～13.
  • 4Galhardas, H., Florescu, D., Shasha, D., et al. AJAX: an extensible data cleaning tool. In: Chen, W.D., Naughton, J.F., Bernstein, P.A., eds. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Texas: ACM, 2000. 590.
  • 5Hernandez, M.A., Stolfo, S.J. Real-World data is dirty: data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery, 1998,2(1):9～37.
  • 6Lee, M.L., Ling, T.W., Lu, H.J., et al. Cleansing data for mining and warehousing. In: Bench-Capon, T., Soda, G., Tjoa, A.M., eds. Database and Expert Systems Applications. Florence: Springer, 1999. 751～760.
  • 7Monge, A.E. Matching algorithm within a duplicate detection system. IEEE Data Engineering Bulletin, 2000,23(4):14～20.
  • 8Monge, A.E., Elkan, C. The field matching problem: algorithms and applications. In: Simoudis, E., Han, J.W., Fayyad, U., eds. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. Oregon: AAAI Press, 1996. 267～270.
  • 9Savasere, A., Omiecinski, E., Navathe, S.B. An efficient algorithm for mining association rules in large databases. In: Dayal, U., Gray, P., Nishio, S., eds. Proceedings of the 21st International Conference on Very Large Data Bases. Zurich: Morgan Kaufmann, 1995. 432～444.
  • 10Srikant, R., Agrawal, R. Mining Generalized Association Rules. In: Dayal, U., Gray, P., Nishio, S., eds. Proceedings of the 21st International Conference on Very Large Data Bases. Zurich: Morgan Kaufmann, 1995. 407～419.

共引文献263

同被引文献18

引证文献5

二级引证文献13

计算机工程与应用
2004年 第30期

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