• DocumentCode
    3122686
  • Title

    Fuzzy data analysis: challenges and perspectives

  • Author

    Kruse, Rudolf ; Borgelt, Christian ; Nauck, Detlef

  • Author_Institution
    Dept. of Knowledge Process. & Language Eng., Otto-von-Guericke-Univ. of Magdeburg, Germany
  • Volume
    3
  • fYear
    1999
  • fDate
    22-25 Aug. 1999
  • Firstpage
    1211
  • Abstract
    In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, knowledge discovery in databases or data mining has emerged as a new research area. However, the approaches studied in this area have mainly been oriented at highly structured and precise data. In addition, the goal to obtain understandable results is often neglected. Therefore we suggest to concentrate on information mining, i.e., the analysis of heterogeneous information sources with the prominent aim of producing comprehensible results. Since the aim of fuzzy technology has always been to model linguistic information and to achieve understandable solutions, we expect it to play an important role in information mining.
  • Keywords
    data analysis; data mining; fuzzy set theory; data mining; databases; fuzzy data analysis; heterogeneous information sources; information mining; knowledge discovery; Costs; Data analysis; Data engineering; Data mining; Databases; Explosions; Humans; Information technology; Knowledge engineering; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5406-0
  • Type

    conf

  • DOI
    10.1109/FUZZY.1999.790074
  • Filename
    790074