Title :
Tracking frequent traversal areas in a Web site via log analysis
Author :
Lin, Yuh-Chi ; Hadingham, Paul
Author_Institution :
Dept. of Comput. Sci., Western Australia Univ., Crawley, WA, Australia
Abstract :
In this paper, we explore the problem of analyzing frequently traversed spots in a Web site. We first construct a support knowledge base from Web logs and formulate the problem of tracking frequent traversal areas as a problem of finding strongly connected components in a digraph. We successfully incorporated the tracking features into our test Web site. Our experiments show that our approach can be useful in the innovative applications such as Web promotion, banner ads, and Web content design in the electronic commerce
Keywords :
data mining; information resources; Web content design; Web promotion; Web site; banner ads; electronic commerce; log analysis; support knowledge base; tracking frequent traversal areas; traversal areas; Clustering algorithms; Computer science; Data mining; Electronic commerce; Internet; Marketing management; Pattern analysis; Statistical analysis; Testing; Web server;
Conference_Titel :
Parallel and Distributed Systems: Workshops, Seventh International Conference on, 2000
Conference_Location :
Iwate
Print_ISBN :
0-7695-0571-6
DOI :
10.1109/PADSW.2000.884617
