Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series, 6)

Xu, Guandong,Zhang, Yanchun,Li, Lin

ISBN 10: 1441977341 / ISBN 13: 9781441977342

Editore: Springer, 2010

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Dati bibliografici

• Titolo: Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series, 6)
• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441977341
• ISBN 13: 9781441977342
• Rilegatura: hardcover
• Condizione: Very Good

Descrizione articolo

Riassunto

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.

Recensione

From the reviews:

“The authors present the theoretical foundation, algorithmic techniques, and practical applications of Web mining, Web personalization and recommendation, and Web community analysis. ... this is an interesting book for people who conduct research in the areas of Web search, Web mining, and social network analysis. The authors’ writing style makes the book easy to follow and the presented material is covered with a good degree of detail, with several references provided at the end of the book to allow for further reading.” (Aris Gkoulalas-Divanis, ACM Computing Reviews, October, 2011)