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Systematically discusses the principles, algorithms, prototypes of the addressed approaches engaged in the domains of Web mining, Web community and social networks
Emphasizes the emerging cross-disciplines of these research areas
Highlights the promising Web–based applications, such as Web recommendation and personalization and Web social community analysis on the Web
This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities.
The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.
Content Level »Research
Keywords »Bayesian network - K-nearest neighbouring - Markov models - Web communities - Web content mining - Web data models - Web mining - association rules - clustering - data mining - semantic indexing - sequential pattern mining - sequential patterns - social networks