Predicting Web site access: an application of time series

G. Antoniol, G. Casazza, G. D. Lucca, M. D. Penta, E. Merlo
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引用次数: 14

Abstract

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.
预测网站访问:时间序列的应用
Internet和Web的普及正在改变从信息收集/管理、商业到软件开发等几个不同领域的面貌。本文介绍了一个采用时间序列预测未来网站访问的案例研究。为了检验时间序列对网站访问预测的适用性,进行了一项实验研究。对某学术网站(http://www.ing.unisannio.it)的日志访问文件进行分析,并将其数据作为测试集。所分析的网站包含有关贝内文托(意大利)圣尼奥大学工程学院的一般信息。初步结果令人鼓舞:每周的平均连接数可以在可接受的误差范围内进行预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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