Editors:
- Edited volume combines research in one, easily-accessible resource
- Each chapter serves as point of entry into a specific topic
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Database Systems (ADBS, volume 40)
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Table of contents (19 chapters)
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Front Matter
About this book
Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of 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 well known researchers in the field, 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 and engineering.
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)Editors and Affiliations
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Thomas J. Watson Research Center, IBM, Hawthorne, U.S.A.
Charu C. Aggarwal
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Microsoft Research Asia, Beijing, China, People's Republic
Haixun Wang
Bibliographic Information
Book Title: Managing and Mining Graph Data
Editors: Charu C. Aggarwal, Haixun Wang
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-1-4419-6045-0
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2010
Hardcover ISBN: 978-1-4419-6044-3Published: 19 February 2010
Softcover ISBN: 978-1-4614-2560-1Published: 06 April 2012
eBook ISBN: 978-1-4419-6045-0Published: 02 February 2010
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XXII, 600
Number of Illustrations: 20 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Database Management, Computer Applications, Computer Graphics, Information Storage and Retrieval, Information Systems Applications (incl. Internet)