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Managing and Mining Graph Data / Charu C. Aggarwal (u. a.) / Buch / Advances in Database Systems / xxii / Englisch / 2010 / Springer US / EAN 9781441960443 - copertina rigida, flessible

2010, ISBN: 9781441960443

[ED: Gebunden], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as g… Altro …

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2010, ISBN: 1441960449

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,… Altro …

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Managing and Mining Graph Data - Aggarwal, Charu C.|Wang, Haixun
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Managing and Mining Graph Data - copertina rigida, flessible

2010

ISBN: 1441960449

[EAN: 9781441960443], Neubuch, [PU: Springer US], DATA MINING (EDV) GRAPH - GRAPHENTHEORIE INFORMATIONSTECHNOLOGIE IT TECHNOLOGIE INTERNET SUCHMETHODEN, SPEZIELLE ANWENDER MASCHINE SUCHMA… Altro …

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Charu C. Aggarwal:
Managing and Mining Graph Data - copertina rigida, flessible

ISBN: 9781441960443

Hardback, [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 … Altro …

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Dettagli del libro
Managing and Mining Graph Data
Autore:
Titolo:
ISBN:

9781441960443


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.

Informazioni dettagliate del libro - Managing and Mining Graph Data


EAN (ISBN-13): 9781441960443
ISBN (ISBN-10): 1441960449
Copertina rigida
Anno di pubblicazione: 2010
Editore: Springer-Verlag/Sci-Tech/Trade
610 Pagine
Peso: 1,066 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2008-07-08T08:35:33+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-11-21T10:18:31+01:00 (Zurich)
ISBN/EAN: 9781441960443

ISBN - Stili di scrittura alternativi:
1-4419-6044-9, 978-1-4419-6044-3
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : charu aggarwal
Titolo del libro: data mining

Dati dell'editore

Autore: Charu C. Aggarwal; Haixun Wang
Titolo: Advances in Database Systems; Managing and Mining Graph Data
Editore: Springer; Springer US
600 Pagine
Anno di pubblicazione: 2010-02-19
New York; NY; US
Stampato / Fatto in
Lingua: Inglese
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XXII, 600 p. 20 illus.

BB; 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; BC

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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