Web Mining and Social Networking

Guandong Xu

ISBN 10: 1461427185 / ISBN 13: 9781461427186

Edité par Springer US, Springer US Dez 2012, 2012

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.

N° de réf. du vendeur 9781461427186

Détails bibliographiques

• Titre: Web Mining and Social Networking
• Éditeur: Springer US, Springer US Dez 2012
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1461427185
• ISBN à 13 chiffres: 9781461427186
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.