Predicting Web Site Access: An Application of Time Series

Florence, Italy November 10-December 10

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http://doi.ieeecomputersociety.org/10.1109/WSE.2001.988786

3rd International Workshop on Web Sit ...

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	ASCII Text	x
	G. Antoniol, G. Casazza, G. Di Lucca, M. Di Penta, E. Merlo, "Predicting Web Site Access: An Application of Time Series," Web Site Evolution, IEEE International Workshop on, pp. 57, 3rd International Workshop on Web Site Evolution (WSE'01), 2001.

	BibTex	x
	@article{ 10.1109/WSE.2001.988786, author = {G. Antoniol and G. Casazza and G. Di Lucca and M. Di Penta and E. Merlo}, title = {Predicting Web Site Access: An Application of Time Series}, journal ={Web Site Evolution, IEEE International Workshop on}, volume = {0}, year = {2001}, isbn = {0-7695-1399-9}, pages = {57}, doi = {http://doi.ieeecomputersociety.org/10.1109/WSE.2001.988786}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Web Site Evolution, IEEE International Workshop on TI - Predicting Web Site Access: An Application of Time Series SN - 0-7695-1399-9 SP EP A1 - G. Antoniol, A1 - G. Casazza, A1 - G. Di Lucca, A1 - M. Di Penta, A1 - E. Merlo, PY - 2001 KW - WEB site KW - log access KW - prediction KW - time series VL - 0 JA - Web Site Evolution, IEEE International Workshop on ER -

The Internet and WEB pervasiveness are changing the landscape of several different areas ranging from information gathering/managing and commerce to software development.

This paper presents a case study where time series were adopted to forecast future web site access. In order to measure the applicability of time series to the prediction of web site accesses, an experimental activity was performed. The log-access file of an academic web site (http://www.ing.unisannio.it) was analyzed and its data used as test set. The analyzed web site contains general information about the Faculty of Engineering of University of Sannio at Benevento (Italy).

Preliminary results were encouraging: the average number of connections per week could be predicted with an acceptable error.

Index Terms:

WEB site, log access, prediction, time series

Citation:

G. Antoniol, G. Casazza, G. Di Lucca, M. Di Penta, E. Merlo, "Predicting Web Site Access: An Application of Time Series," wse, pp.57, 3rd International Workshop on Web Site Evolution (WSE'01), 2001

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