Title :
Using Web Clustering for Web Communities Mining and Analysis
Author :
Zhang, Yanchun ; Xu, Guandong
Author_Institution :
Centre for Appl. Inf., Victoria Univ., Melbourne, VIC
Abstract :
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.
Keywords :
Internet; Web sites; data mining; information retrieval; pattern clustering; text analysis; Web clustering; Web communities analysis; Web communities mining; Web data management; Web documents; Web log files; Web pages; Web search; social networks; text retrieval; Clustering algorithms; Couplings; Data analysis; Databases; Information analysis; Intelligent agent; Internet; Knowledge management; Web pages; Web search;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.415