期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：12
页码：35-39
出版社：International Journal of Computer Science and Network Security
摘要：Web usage mining (WUM) utilizes mainly the Web logs as its data sources. A user’s Web page browsing-time calculated from the Web logs usually involves some possible inaccuracies if the user was not navigating the Web page at the whole time. This paper proposes to use intentional browsing data (IDB), collected online from the user’s interaction with the Web page, for adjusting the estimation of the browsing time for potential better application results. Two approaches on different phases of WUM, pre-processing adjustments versus mining algorithm, are proposed and illustrated for their rational benefits in addressing the estimation issue.
关键词：Web Usage Mining, Web Log Files Browsing Behavior, Browsing Time.
