• DocumentCode
    629696
  • Title

    Generalized probabilistic approximations

  • Author

    Grzyrnala-Busse, Jerzy W.

  • Author_Institution
    Electr. Eng. & Comput. Sci., Univ. of Kansas, Lawrence, KS, USA
  • fYear
    2013
  • fDate
    6-8 June 2013
  • Firstpage
    13
  • Lastpage
    17
  • Abstract
    Generalized probabilistic approximations, defined using both rough set theory and probability theory, are studied using an approximation space (U, R), where R is an arbitrary binary relation. Generalized probabilistic approximations are applicable in mining inconsistent data (data with conflicting cases) and data with missing attribute values.
  • Keywords
    approximation theory; data mining; probability; rough set theory; arbitrary binary relation; generalized probabilistic approximation space; inconsistent data mining; missing data attribute values; probability theory; rough set theory; Approximation algorithms; Approximation methods; Conferences; Data mining; Humidity; Probabilistic logic; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interaction (HSI), 2013 The 6th International Conference on
  • Conference_Location
    Sopot
  • ISSN
    2158-2246
  • Print_ISBN
    978-1-4673-5635-0
  • Type

    conf

  • DOI
    10.1109/HSI.2013.6577796
  • Filename
    6577796
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=629696