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Managing and Mining Graph Data - Charu C. Aggarwal, Haixun Wang
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2007, ISBN: 1441960449

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[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, 610, [GW: 1066g], offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung

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Charu C. Aggarwal:
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ISBN: 9781441960443

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x48 mm, 610, [GW: 1066g], PayPal, Banküberweisung, Interntationaler Versand

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[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 242x164x48 mm, 610, [GW: 1066g], Banküberweisung, PayPal

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Managing and Mining Graph Data - Aggarwal, Charu C.; Wang, Haixun
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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. Computers Computers eBook, Springer

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Managing and Mining Graph Data

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.

Detailangaben zum Buch - Managing and Mining Graph Data


EAN (ISBN-13): 9781441960443
ISBN (ISBN-10): 1441960449
Gebundene Ausgabe
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
610 Seiten
Gewicht: 1,066 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 08.07.2008 08:35:33
Buch zuletzt gefunden am 24.10.2017 12:31:27
ISBN/EAN: 9781441960443

ISBN - alternative Schreibweisen:
1-4419-6044-9, 978-1-4419-6044-3


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