Editors:
- Link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysis, collaborative filtering, and bioinformatics
- This will be the first book on the market focusing on the theory and techniques as well as the related applications for link mining
- Presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining
- Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
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Front Matter
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Graph Mining and Community Analysis
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Front Matter
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Link Analysis for Data Cleaning and Information Integration
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Front Matter
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Social Network Analysis
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Front Matter
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Summarization and OLAP of Information Networks
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Front Matter
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About this book
Editors and Affiliations
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Dept. Computer Science, University of Illinois, Chicago, Chicago, USA
Philip S. Yu
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Dept. Computer Science, University of Illinois, Urbana-Champaign, Urbana, USA
Jiawei Han
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School of Computer Science, Carnegie Mellon University, Pittsburgh, USA
Christos Faloutsos
Bibliographic Information
Book Title: Link Mining: Models, Algorithms, and Applications
Editors: Philip S. Yu, Jiawei Han, Christos Faloutsos
DOI: https://doi.org/10.1007/978-1-4419-6515-8
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-6514-1
Softcover ISBN: 978-1-4939-0147-0
eBook ISBN: 978-1-4419-6515-8
Edition Number: 1
Number of Pages: XIII, 586
Topics: Bioinformatics, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Computer Appl. in Life Sciences