学术健康科学图书馆的网络使用挖掘：一项探索性研究。
Web usage mining at an academic health sciences library: an exploratory study.
作者信息
Bracke Paul J
机构信息
Arizona Health Sciences Library, 1501 North Campbell Avenue, PO Box 245079, Tucson 85724-5079, USA.
出版信息
J Med Libr Assoc. 2004 Oct;92(4):421-8.
OBJECTIVES
This paper explores the potential of multinomial logistic regression analysis to perform Web usage mining for an academic health sciences library Website.
METHODS
Usage of database-driven resource gateway pages was logged for a six-month period, including information about users' network addresses, referring uniform resource locators (URLs), and types of resource accessed.
RESULTS
It was found that referring URL did vary significantly by two factors: whether a user was on-campus and what type of resource was accessed.
CONCLUSIONS
Although the data available for analysis are limited by the nature of the Web and concerns for privacy, this method demonstrates the potential for gaining insight into Web usage that supplements Web log analysis. It can be used to improve the design of static and dynamic Websites today and could be used in the design of more advanced Web systems in the future.
目标
本文探讨多项逻辑回归分析在学术健康科学图书馆网站进行网络使用挖掘的潜力。
方法
记录数据库驱动的资源网关页面六个月的使用情况，包括用户网络地址、引用的统一资源定位符（URL）以及访问的资源类型等信息。
结果
发现引用的URL在两个因素上有显著差异：用户是否在校内以及访问的资源类型。
结论
尽管可供分析的数据受到网络性质和隐私问题的限制，但这种方法显示了深入了解网络使用情况以补充网络日志分析的潜力。它可用于改进当今静态和动态网站的设计，并可在未来用于设计更先进的网络系统。
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