• DocumentCode
    3039080
  • Title

    Research by the Forecasting Method of Reconstructed First before modeling

  • Author

    Jing-sheng, Xue ; Fu-fei, Hao

  • Author_Institution
    Electron. & Inf. Eng. Coll., Tianjin Univ., Tianjin, China
  • Volume
    3
  • fYear
    2012
  • fDate
    25-27 May 2012
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    This research has proved that 110-alarm events have predictability;the applicability of forecast models that can be applied to government emergency management departments and is applied for forecast of public security organ in actual command and supports assistant-decision. This innovative method uses high-order AR to synthesize time series of 110-alarm forecasting result to the original signal forecasting result and to be proved through experiments. This innovative modeling and forecasting process is called “Forecasting Method of Reconstructed First before Modeling”.
  • Keywords
    autoregressive processes; emergency services; forecasting theory; government; higher order statistics; time series; 110-alarm events; 110-alarm forecasting result; assistant-decision supports; autoregressive process; forecast model applicability; forecasting method; government emergency management departments; high-order AR process; innovative method; innovative modeling; predictability; public security organ; reconstructed first before modeling; signal forecasting result; time series synthesis; Approximation methods; Data models; Forecasting; Mathematical model; Predictive models; Security; Time series analysis; Auto-Regressive; Date-Mining; Emergencies-Forecasting; Ti me-Series; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4673-0088-9
  • Type

    conf

  • DOI
    10.1109/CSAE.2012.6273007
  • Filename
    6273007