• DocumentCode
    3118446
  • Title

    Research Topic Evolution in "Bioinformatics"

  • Author

    Wu, Hao ; Wang, Meijiao ; Feng, Jiaming ; Pei, Yijian

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Bioinformatics has grown about thirty years. Especially in the past ten years, the field developed in leaps and bounds and emerged many research works. Whether as a novice, or a famous scholar, would like to be able to glimpse the research situation of this field, and get an intuitive and quantified understanding. This article aims to use new machine learning techniques to mine the literatures in the field of bioinformatics and discover the important research topics, to quantify the evolution of these themes and show the trend.
  • Keywords
    bioinformatics; learning (artificial intelligence); bioinformatics; data mining; literatures; machine learning; research topic evolution; Bioinformatics; Evolution (biology); History; Information science; Information technology; Linear discriminant analysis; Machine learning; Sampling methods; Statistics; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5516318
  • Filename
    5516318