• DocumentCode
    1605454
  • Title

    Examining granular computing from a modeling perspective

  • Author

    Xie, Ying ; Katukuri, Jayasimha ; Raghavan, Vijay V. ; Johnsten, Tom

  • Author_Institution
    Dept. of Comput. Sci. & Inf., Syst. Kennesaw State Univ., Kennesaw, GA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address the issues of interpretability and usage of discovered patterns.
  • Keywords
    data mining; information retrieval; Web page; data mining; granular computing; granular language modeling technique; information analysis; information extraction; numeric computing; perception based computing; Computer interfaces; Computer science; Data mining; Fuzzy logic; Humans; Information analysis; Instruments; Object oriented modeling; Problem-solving; Software design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531348
  • Filename
    4531348