Web Mining and Social Networking: Techniques and Applications

by Guandong Xu, Yanchun Zhang, Lin Li

Overview

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.

Product Details

ISBN-13:	9781441977342
Publisher:	Springer US
Publication date:	10/28/2010
Series:	Web Information Systems Engineering and Internet Technologies Book Series , #6
Edition description:	2011
Pages:	210
Product dimensions:	6.40(w) x 9.30(h) x 0.90(d)

Table of Contents

Part I Foundations: Introduction.- Theoretical Backgrounds.- Algorithms and Techniques.- Part II Web Mining Techniques and Applications: Web content mining.- Web Linkage Analysis.- Web Usage Mining.- Part III Web Community and Social Network Analysis: Techniques and Applications: Web Community Mining for Web Recommendation.- Social Network Analysis and Applications.- Conclusion.- References.- Index.

Editorial 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)

From the Publisher