Predicting Web site access: an application of time series
Predicting Web site access: an application of time series
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预测网站访问：时间序列的应用
DOI：
10.1109/wse.2001.988786
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
E. Merlo
中科院分区：
文献类型：
--
作者：
G. Antoniol;G. Casazza;G. D. Lucca;M. D. Penta;E. Merlo
因特网和万维网的普及正在改变从信息收集/管理和商业到软件开发等几个不同领域的面貌。本文提出了一个案例研究，采用时间序列来预测未来的网站访问。为了衡量时间序列预测网站访问的适用性，进行了一项实验活动。以一个学术网站（http：//www.example.com）的日志访问文件作为测试集，分析了其数据。www.ing.unisannio.it经过分析的网站包含有关贝内文托的Sannio大学工程学院（意大利）的一般信息。初步结果令人鼓舞：可以预测每周的平均连接数，误差可以接受。
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.