• DocumentCode
    2243860
  • Title

    Evaluating technologies based rough set theory

  • Author

    Nguyen, Vu Thanh ; Sa, Nguyen Thi Ly

  • Author_Institution
    Univ. of Inf. Technol., Ho Chi Minh City, Vietnam
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    1951
  • Lastpage
    1956
  • Abstract
    Most data mining algorithms usually generate combining large rules, finding useful rules from rules set necessary and important. There have been several techniques proposed to assess the rule as useful measure which is based on rough set theory as the RIM, ERIM measure. On rough set theory has been studied, the article proposed AWERIM measure which is improved from ERIM measure and applied this specific measure to an application of the data mining problem about bank loans.
  • Keywords
    data mining; rough set theory; AWERIM measure; ERIM measure; data mining algorithms; evaluating technologies; rough set theory; Accuracy; Association rules; Cybernetics; Machine learning; Set theory; Weight measurement; AWERIM measure; ERIM measure; RIM measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580523
  • Filename
    5580523
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2243860