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  • 标题:A Survey on Strategies Developed for Mining Functional Dependencies
  • 本地全文:下载
  • 作者:P.Andrew ; J.Anishkumar ; Prof.S.Balamurugan
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:2
  • 页码:688
  • DOI:10.15680/IJIRSET.2015.0402088
  • 出版社:S&S Publications
  • 摘要:This paper details about various methods prevailing in literature on strategies developed for miningfunctional dependencies. Efficient discovery of functional and approximate dependencies of partition is discussed indetail. An efficient algorithm for discovery functional and approximate dependencies called TANE is examined.Mining functional dependencies from data and Depth first algorithms and influencing for AFD mining are examined indetail. Polynomial time queries over inconsistent databases with functional dependency and foreign keys are reviewed.This survey would promote a lot of research in the area of mining functional dependencies.
  • 关键词:Functional Dependency; Depth-First Algorithm; Foreign Key; Data Anonymization; Information;Mining.
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