Clustering web information sources

Abstract

The explosive growth of the Web has drastically increased information circulation and dissemination rates. As the numbers of both Web users and Web sources grow significantly every day, crucial data management issues, such as clustering on the Web, should be addressed and analyzed. Clustering has been proposed toward improving both information availability and the Web users' personalization. Clusters on the Web are either users' sessions or Web information sources, which are managed in a variation of applications and implementation test beds. This chapter focuses on the topic of clustering information over the Web in an effort to provide an overview and survey on the theoretical background and the adopted practices of the most popular emerging and challenging clustering research efforts. An up-to-date survey of the existing clustering schemes is given to be of use for both researchers and practitioners interested in the area of Web data mining. © 2007, Idea Group Inc.