• DocumentCode
    3315048
  • Title

    The Study of Application of Multi-label Classification Methods to Type Selection of Mobile Base-Station

  • Author

    Shi, Wangyang ; Wu, Linlin

  • Author_Institution
    Anhui Tech. Coll. of Mech. & Electr. Eng., Wuhu, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    This article introduces a new approach of application of multi-label classification methods to type selection of mobile base-station. In order to construct forecasting model of type selection of mobile base-station, we need to carry on the application of BR, which is one of multi-label classification methods, to automatic type selection on the basis of historical data of base-station construction by resolving data, treating and integrating of classifier. The results indicate that there is a better ability of forecast by adopting our method than that by using traditional method of experience.
  • Keywords
    data mining; mobile communication; base station construction; classifier; construct forecasting model; historical data; mobile base station; multi label classification methods; type selection; Classification algorithms; Data models; Forecasting; Indexes; Mobile communication; Predictive models; Training; Base-Station Type; Binary Relevance Method; Classification; Data Mining; Multi-label;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.352
  • Filename
    6300494