A Short-Term Forecasting Algorithm for Network Traffic Based on Chaos Theory and SVM-Reference-Cited by-同舟云学术

A Short-Term Forecasting Algorithm for Network Traffic Based on Chaos Theory and SVM

Published:2010-11-21 Issue:4 Volume:19 Page:427-447
ISSN:1064-7570
Container-title:Journal of Network and Systems Management
language:en
Short-container-title:J Netw Syst Manage

Author:

Liu Xingwei,Fang Xuming,Qin Zhenhua,Ye Chun,Xie Miao

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10922-010-9188-3.pdf

Reference29 articles.

1. Papadopouli, M., Shen, H., Raftopoulos, E., Ploumidis, M., Hernandez-Campos, F.: Short-term traffic forecasting in a campus-wide wireless network. In: International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’05), pp. 1446–1452. Berlin, Germany (2005)

2. Box, G.E.P., Jenkins, G.M., Reinsel, G.C.: Time Series Analysis: Forecasting and Control. Prentice Hall, Englewood Cliffs (1999)

3. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, Berlin (1995)

4. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)

5. Lv, J.H., Lu, J.A., Chen, S.H.: Chaotic Time Series Analysis and Its Application. Wuhan University Press, Motto (2002). (in Chinese)

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