Title :
Neighbourhood Sets based on Web Usage Mining
Author_Institution :
St. Mary´´s Univ., Halifax
Abstract :
Hyperlink structure of a Web site can be improved based on the Web usage information. Creating adaptive Web sites based on Web usage mining is receiving increasing interest from the researchers. It is important to develop theoretical frameworks for such a research. This paper discusses how neighbourhood sets can be a useful framework for analyzing Web access sequences.
Keywords :
Web sites; data mining; graph theory; Web usage information; Web usage mining; adaptive Web sites; hyperlink structure; neighbourhood sets; Books; Data mining; Graph theory; Navigation; Proposals; Topology; Tree graphs; Web mining; Web pages; Web sites;
Conference_Titel :
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-1213-7
Electronic_ISBN :
1-4244-1214-5
DOI :
10.1109/NAFIPS.2007.383919