• DocumentCode
    1350750
  • Title

    Discover Dependencies from Data—A Review

  • Author

    Liu, Jixue ; Li, Jiuyong ; Liu, Chengfei ; Chen, Yongfeng

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Univ. of South Australia, Mawson Lakes, SA, Australia
  • Volume
    24
  • Issue
    2
  • fYear
    2012
  • Firstpage
    251
  • Lastpage
    264
  • Abstract
    Functional and inclusion dependency discovery is important to knowledge discovery, database semantics analysis, database design, and data quality assessment. Motivated by the importance of dependency discovery, this paper reviews the methods for functional dependency, conditional functional dependency, approximate functional dependency, and inclusion dependency discovery in relational databases and a method for discovering XML functional dependencies.
  • Keywords
    data mining; relational databases; XML functional dependency; approximate functional dependency; conditional functional dependency; data quality assessment; database design; database semantics analysis; functional dependency discovery; inclusion dependency discovery; knowledge discovery; relational database; Data mining; Data systems; Design methodology; Knowledge transfer; Relational databases; Semantics; XML; Integrity constraint; XML; conditional functional dependencies; data quality.; functional dependencies; inclusion dependencies; knowledge discovery;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2010.197
  • Filename
    5601725
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1350750