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© 2011

Web Mining and Social Networking

Techniques and Applications

  • 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

  • Surveys the related work in these domains and outlines several open research problems

Book
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Table of contents

  1. Front Matter
    Pages 1-1
  2. Foundation

    1. Front Matter
      Pages 1-1
    2. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 3-11
    3. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 13-27
    4. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 29-68
  3. Web Mining: Techniques and Applications

    1. Front Matter
      Pages 69-69
    2. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 71-87
    3. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 89-107
    4. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 109-142
  4. Social Networking and Web Recommendation: Techniques and Applications

    1. Front Matter
      Pages 143-143
    2. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 145-168
    3. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 169-188
    4. Guandong Xu, Yanchun Zhang, Lin Li
      Pages 189-194
  5. Back Matter
    Pages 189-189

About this book

Introduction

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.

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

Authors and affiliations

  1. 1.School of Computer Science &, MathematicsVictoria UniversityMelbourneAustralia
  2. 2.School of Computer Science &, MathematicsVictoria UniversityMelbourneAustralia
  3. 3.Wuhan University of TechnologyWuhanChina, People's Republic

Bibliographic information

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Reviews

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)