Research Repository

Using Web Clustering for Web Communities Mining and Analysis

Zhang, Yanchun and Xu, Guandong (2008) Using Web Clustering for Web Communities Mining and Analysis. In: 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops WI-IAT Workshops 2008 : 9-12 December 2008 University of Technology, Sydney, Australia, proceedings. Li, Yuefeng, Pasi, Gabriella, Zhang, Chengqi, Cercone, Nick and Cao, Longbing, eds. IEEE Computer Society, Los Alamitos, California, pp. 20-31.

Full text for this resource is not available from the Research Repository.


Due to the inherent correlation among Web objects and the lack of a uniform schema of Web documents, Web community mining and analysis has become an important area for Web data management and analysis. The research of Web communities spans a number of research domains such as Web mining, Web search, clustering and text retrieval. In this talk we will present some recent studies on this topic, which cover finding relevant Web pages based on linkage information, discovering user access patterns through analyzing Web log files, co-clustering Web objects and investigating social networks from Web data. The algorithmic issues and related experimental studies will be addressed. Some research directions are also to be discussed.

Item Type: Book Section
ISBN: 9780769534961
Uncontrolled Keywords: ResPubID14746, Internet, Web sites, data mining, information retrieval, pattern clustering, text analysis, Web data management, documents, Web log files, Web pages, searching, social media, retrieval, clustering algorithms, couplings, databases, intelligent agent, knowledge management
Subjects: Current > FOR Classification > 0806 Information Systems
Current > FOR Classification > 0807 Library and Information Studies
Historical > SEO Classification > 8903 Information Services
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 19 Nov 2013 22:46
Last Modified: 19 Nov 2013 22:56
ePrint Statistics: View download statistics for this item
Citations in Scopus: 7 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar