Abstract
It is a new idea and approach to forecast Web traffic basing on Neuro-Fuzzy Method. The log files on a Web Server include many useful information about users. In this paper, by analyzing log files the forecasting model is proposed and the basic idea, structure and algorithm of this model are introduced. The Dynamic Clustering Method and Neural Network learning method are introduced also. Experimental results show that the proposed method is very helpful for improving the administration of Web Server and quality of service and forecasting the action of users.
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Yang, AM., Sun, XM., Li, CY., Liu, P. (2005). A Neuro-Fuzzy Method of Forecasting the Network Traffic of Accessing Web Server. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_91
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DOI: https://doi.org/10.1007/11539506_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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