Exploring Web Access Logs with Correspondence Analysis

In this paper we will demonstrate the capabilities offered by a data analysis method
(Correspondence Analysis) on web log statistics for the examination of user
behavior and preferences. Specifically, we observed log statistics of a university
department web site an a monthly basis, by plotting each data set on the same
factorial plane. We view that this process may produce valuable results both for
web-content designers and institutions with Internet presence.