Multidimensional Association Analysis of Web Users' Access Path for Website Design and Promotion

Data mining technology makes it possible to discover knowledge from daily operational data. As we know, Web log contains a lot of information about web users' behavior on the Website, for example, Web users' access path. Information discovered from those data will be very useful to website design and promotion. In this paper, we propose an analysis model by using multidimensional association rules to extract useful information from web users' access path. Example shows that association analysis can help us to find very valuable knowledge such as the relationship between user access time and Web pages, and that knowledge will help website to improve users' satisfaction and make website promotion decision.