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
Link To Document