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Web Mining and Social Networking
Web Mining and Social Networking
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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…
  • Leidėjas:
  • ISBN-10: 1461427185
  • ISBN-13: 9781461427186
  • Formatas: 15.6 x 23.4 x 1.2 cm, minkšti viršeliai
  • Kalba: Anglų

Web Mining and Social Networking (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Autorius: Guandong Xu
  • Leidėjas:
  • ISBN-10: 1461427185
  • ISBN-13: 9781461427186
  • Formatas: 15.6 x 23.4 x 1.2 cm, minkšti viršeliai
  • Kalba: Anglų

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.

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