Title :
On Web Communities Mining and Analysis
Author :
Zhang, Yanchun ; Xu, Guandong
Author_Institution :
Victoria Univ., Melbourne
Abstract :
Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management and searching techniques. To address this issue, we have adopted Web mining and Web community analysis approaches. Based on the analysis of Web document contents, hyperlinks analysis, user access logs and semantic analysis, we have developed various approaches or algorithms to construct and analyze Web communities, and to make recommendations. This paper will introduce and discuss various approaches on Web community mining and recommendation.
Keywords :
Internet; data mining; Web communities mining; Web documents; hyperlinks analysis; information management; information retrieval; semantic analysis; user access logs; Algorithm design and analysis; Data mining; Database systems; Information filtering; Information filters; Information retrieval; Internet; Web mining; Web pages; Web sites;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.121