• DocumentCode
    3025871
  • Title

    Using the Bibliometric Analysis to Evaluate Global Scientific Production of Data Mining Papers

  • Author

    Deng, Shuang ; Tian, Yangge ; Zhang, Hao

  • Author_Institution
    Int. Sch. of Software, Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    A bibliometric analysis was applied in this work to evaluate global scientific production of data mining papers of the science citation index (SCI), which was compiled by Institute for Scientific Information (ISI), Philadelphia, USA. The published output analysis showed that data mining research steadily increased over the past 20 years and the annual paper production in 2007 was about three times that in 1999. The analytical results eventually lead to several key findings. Several author keywords became the focus in the last few years, and might be a new research direction in the future. There are clear distinctions among author keywords used in publications from the five most productive countries (USA, China, Germany, England and Canada) in data mining research. Bibliometric methods could quantitatively characterize the development of global scientific production in a specific research field.
  • Keywords
    data mining; information analysis; bibliometric analysis; data mining; global scientific production; published output analysis; science citation index; Bibliometrics; Citation analysis; Data analysis; Data mining; Databases; Indexes; Information analysis; Intersymbol interference; Paper technology; Production; bibliometric analysis; data mining; the Science Citation Index (SCI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.157
  • Filename
    5207773