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Link Mining: Models, Algorithms, and Applications

Editors: Yu, Philip S., Han, Jiawei, Faloutsos, Christos (Eds.)

  • The first book on the market focusing on theory and techniques as well as the related applications for link mining
  • Explores a rapidly emerging field of data mining
  • Presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining
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Buy this book

eBook $229.00
price for USA (gross)
  • ISBN 978-1-4419-6515-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $289.00
price for USA
  • ISBN 978-1-4419-6514-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $289.00
price for USA
  • ISBN 978-1-4939-0147-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

With the recent flourishing research activities on Web search and mining, social network analysis, information network analysis, information retrieval, link analysis, and structural data mining, research on link mining has been rapidly growing, forming a new field of data mining. Traditional data mining focuses on "flat" or “isolated” data in which each data object is represented as an independent attribute vector. However, many real-world data sets are inter-connected, much richer in structure, involving objects of heterogeneous types and complex links. Hence, the study of link mining will have a high impact in various important applications such as Web and text mining, social network analysis, collaborative filtering, and bioinformatics. Link Mining: Models, Algorithms and Applications focuses on the theory and techniques as well as the related applications for link mining, especially from an interdisciplinary point of view. Due to the high popularity of linkage data, extensive applications ranging from governmental organizations to commercial businesses to people's daily life call for exploring the techniques of mining linkage data. This book provides a comprehensive coverage of the link mining models, techniques and applications. Each chapter is contributed from some well known researchers in the field. Link Mining: Models, Algorithms and Applications is designed for researchers, teachers, and advanced-level students in computer science. This book is also suitable for practitioners in industry.

Table of contents (21 chapters)

  • Machine Learning Approaches to Link-Based Clustering

    Zhang, Zhongfei (Mark) (et al.)

    Pages 3-44

  • Scalable Link-Based Similarity Computation and Clustering

    Yin, Xiaoxin (et al.)

    Pages 45-71

  • Community Evolution and Change Point Detection in Time-Evolving Graphs

    Sun, Jimeng (et al.)

    Pages 73-104

  • A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks

    Namata, Galileo Mark (et al.)

    Pages 107-133

  • Markov Logic: A Language and Algorithms for Link Mining

    Domingos, Pedro (et al.)

    Pages 135-161

Buy this book

eBook $229.00
price for USA (gross)
  • ISBN 978-1-4419-6515-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $289.00
price for USA
  • ISBN 978-1-4419-6514-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $289.00
price for USA
  • ISBN 978-1-4939-0147-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Link Mining: Models, Algorithms, and Applications
Editors
  • Philip S. Yu
  • Jiawei Han
  • Christos Faloutsos
Copyright
2010
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-6515-8
DOI
10.1007/978-1-4419-6515-8
Hardcover ISBN
978-1-4419-6514-1
Softcover ISBN
978-1-4939-0147-0
Edition Number
1
Number of Pages
XIII, 586
Topics