Advances in Database Systems

Managing and Mining Graph Data

Editors: Aggarwal, Charu C., Wang, Haixun (Eds.)

  • The first comprehensive survey book in the emerging topic of graph data processing
  • Offers domain-specific scenarios including stream mining, web graphs, social networks, chemical and biological data
  • Each chapter serves as point of entry into a specific topic
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eBook $179.00
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  • ISBN 978-1-4419-6045-0
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  • Download immediately after purchase
Hardcover $229.00
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  • ISBN 978-1-4419-6044-3
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  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
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  • ISBN 978-1-4614-2560-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing.

Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science.

About the Editors:

Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award for his work on data stream analytics, and an IBM Outstanding Innovation Award for his work on privacy technology. He has served on the executive committees of most major data mining conferences. He has served as an associate editor of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations, and as an action editor of the DMKD Journal. He is a fellow of the IEEE, and a life-member of the ACM.

Haixun Wang is currently a researcher at Microsoft Research Asia. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. He subsequently worked as a researcher at IBM until 2009. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He serves as an associate editor of the IEEE TKDE, and has served as a reviewer and program committee member of leading database conferences and journals.

Reviews

From the reviews:

“This book provides a survey of some recent advances in graph mining. It contains chapters on graph languages, indexing, clustering, pattern mining, keyword search, and pattern matching. … The book is targeted at advanced undergraduate or graduate students, faculty members, and researchers from both industry and academia. … I highly recommend this book to someone who is starting to explore the field of graph mining or wants to delve deeper into this exciting field.” (Dimitrios Katsaros, ACM Computing Reviews, December, 2010)

Table of contents (19 chapters)

  • An Introduction to Graph Data

    Aggarwal, Charu C. (et al.)

    Pages 1-11

  • Graph Data Management and Mining: A Survey of Algorithms and Applications

    Aggarwal, Charu C. (et al.)

    Pages 13-68

  • Graph Mining: Laws and Generators

    Chakrabarti, Deepayan (et al.)

    Pages 69-123

  • Query Language and Access Methods for Graph Databases

    He, Huahai (et al.)

    Pages 125-160

  • Graph Indexing

    Yan, Xifeng (et al.)

    Pages 161-180

Buy this book

eBook $179.00
price for USA
  • ISBN 978-1-4419-6045-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $229.00
price for USA
  • ISBN 978-1-4419-6044-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4614-2560-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Managing and Mining Graph Data
Editors
  • Charu C. Aggarwal
  • Haixun Wang
Series Title
Advances in Database Systems
Series Volume
40
Copyright
2010
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-1-4419-6045-0
DOI
10.1007/978-1-4419-6045-0
Hardcover ISBN
978-1-4419-6044-3
Softcover ISBN
978-1-4614-2560-1
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XXII, 600
Number of Illustrations and Tables
20 b/w illustrations
Topics