• DocumentCode
    1983343
  • Title

    Machine Learning Applications in Rough Set Theory

  • Author

    Wei Wenshan ; Li Haihua

  • Author_Institution
    Sch. of Phys. & Electron. Eng., Guangxi Univ. for Nat., Nanning, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This article, using the attribute reduction of rough set theory and superiority in the knowledge discovery and combining with the machine learning theory, proposes a machine learning model based on the attribute reduction of rough set theory, and explores the machine learning in several important concepts and research methods.
  • Keywords
    learning (artificial intelligence); rough set theory; knowledge discovery; machine learning applications; machine learning theory; rough set theory; Cognition; Decision making; Knowledge based systems; Knowledge representation; Learning; Machine learning; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566567
  • Filename
    5566567
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1983343