• DocumentCode
    140962
  • Title

    RuleMiner: Data quality rules discovery

  • Author

    Xu Chu ; Ilyas, I.F. ; Papotti, P. ; Yin Ye

  • Author_Institution
    Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    1222
  • Lastpage
    1225
  • Abstract
    Integrity constraints (ICs) are valuables tools for enforcing correct application semantics. However, manually designing ICs require experts and time, hence the need for automatic discovery. Previous automatic ICs discovery suffer from (1) limited ICs language expressiveness; and (2) time-consuming manual verification of discovered ICs. We introduce RULEMINER, a system for discovering data quality rules that addresses the limitations of existing solutions.
  • Keywords
    data mining; IC; RuleMiner; application semantics; data quality rules discovery; integrity constraints; Cleaning; Data mining; Inference algorithms; Itemsets; Java; Remuneration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2014 IEEE 30th International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ICDE.2014.6816746
  • Filename
    6816746
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=140962