Managing and Mining Graph Data / Haixun Wang (u. a.) / Taschenbuch / Advances in Database Systems / Paperback / xxii / Englisch / 2012 / Springer US / EAN 9781461425601 - Paperback
2012, ISBN: 9781461425601
[ED: Taschenbuch], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important… More...
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Managing and Mining Graph Data | Haixun Wang (u. a.) | Taschenbuch | Advances in Database Systems | Paperback | xxii | Englisch | 2012 | Springer US | EAN 9781461425601 - Paperback
2012, ISBN: 9781461425601
[ED: Taschenbuch], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important… More...
booklooker.de |
2012, ISBN: 1461425603
2010 Kartoniert / Broschiert Grafikprogrammierung, Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Clustering; infor… More...
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ISBN: 9781461425601
Paperback, [PU: Springer-Verlag New York Inc.], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of… More...
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2012, ISBN: 9781461425601
Buch, Softcover, Previously published in hardcover, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2012
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Managing and Mining Graph Data / Haixun Wang (u. a.) / Taschenbuch / Advances in Database Systems / Paperback / xxii / Englisch / 2012 / Springer US / EAN 9781461425601 - Paperback
2012, ISBN: 9781461425601
[ED: Taschenbuch], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important… More...
Wang, Haixun:
Managing and Mining Graph Data | Haixun Wang (u. a.) | Taschenbuch | Advances in Database Systems | Paperback | xxii | Englisch | 2012 | Springer US | EAN 9781461425601 - Paperback2012, ISBN: 9781461425601
[ED: Taschenbuch], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important… More...
2012
ISBN: 1461425603
2010 Kartoniert / Broschiert Grafikprogrammierung, Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Clustering; infor… More...
ISBN: 9781461425601
Paperback, [PU: Springer-Verlag New York Inc.], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of… More...
2012, ISBN: 9781461425601
Buch, Softcover, Previously published in hardcover, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2012
Bibliographic data of the best matching book
Author: | |
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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.
Details of the book - Managing and Mining Graph Data
EAN (ISBN-13): 9781461425601
ISBN (ISBN-10): 1461425603
Hardcover
Paperback
Publishing year: 20120504
Publisher: Springer-Verlag New York Inc.
636 Pages
Weight: 0,947 kg
Language: Englisch
Book in our database since 2012-04-20T15:35:43+01:00 (London)
Detail page last modified on 2023-11-21T09:18:30+00:00 (London)
ISBN/EAN: 1461425603
ISBN - alternate spelling:
1-4614-2560-3, 978-1-4614-2560-1
Alternate spelling and related search-keywords:
Book author: charu aggarwal, wang
Book title: database systems, data mining, man and mining
Information from Publisher
Author: Charu C. Aggarwal; Haixun Wang
Title: Advances in Database Systems; Managing and Mining Graph Data
Publisher: Springer; Springer US
600 Pages
Publishing year: 2012-04-06
New York; NY; US
Printed / Made in
Language: English
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XXII, 600 p. 20 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Clustering; Graph; Information Retrieval; Managing; Mining; algorithm; biological datasets; chemical graph data; classification; currentjm; data mining; graph data; graph mining; query language; social networks; Data Mining and Knowledge Discovery; Database Management; Computer and Information Systems Applications; Computer Graphics; Information Storage and Retrieval; Wissensbasierte Systeme, Expertensysteme; Datenbanken; Angewandte Informatik; Grafikprogrammierung; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BB; EA
An Introduction to Graph Data.- Graph Data Management and Mining: A Survey of Algorithms and Applications.- Graph Mining: Laws and Generators.- Query Language and Access Methods for Graph Databases.- Graph Indexing.- Graph Reachability Queries: A Survey.- Exact and Inexact Graph Matching: Methodology and Applications.- A Survey of Algorithms for Keyword Search on Graph Data.- A Survey of Clustering Algorithms for Graph Data.- A Survey of Algorithms for Dense Subgraph Discovery.- Graph Classification.- Mining Graph Patterns.- A Survey on Streaming Algorithms for Massive Graphs.- A Survey of Privacy-Preservation of Graphs and Social Networks.- A Survey of Graph Mining for Web Applications.- Graph Mining Applications to Social Network Analysis.- Software-Bug Localization with Graph Mining.- A Survey of Graph Mining Techniques for Biological Datasets.- Trends in Chemical Graph Data Mining.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
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