• DocumentCode
    2221731
  • Title

    Research on outlier data mining algorithms based on subspace

  • Author

    Ping-guang, Cheng

  • Author_Institution
    Dept. of Comput. Sci., Chongqing Educ. Coll., Chongqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    This paper describes the outlier data mining and commonly used outlier mining methods, on this basis, it presents an outlier mining algorithm based on particle swarm and subspace, and then the experiments show that the algorithm does not rely on user input parameters, has strong flexibility and high operational efficiency. Finally this paper designs an outlier mining system based on subspace, in detail describes the functional modules and the key technologies.
  • Keywords
    data mining; particle swarm optimisation; functional modules; outlier data mining algorithms; particle swarm optimisation; Argon; outlier data mining; particle swarm; subspace;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579280
  • Filename
    5579280