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Managing and Mining Graph Data - Charu C. Aggarwal
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ISBN: 9781441960450

ID: 9781441960450

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. 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. algorithm biological datasets chemical graph data classification Clustering currentjm data mining Graph graph data graph mining Information Retrieval Managing Mining query language social networks, Springer US

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Managing and Mining Graph Data - Aggarwal, Charu C.; Wang, Haixun
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2010, ISBN: 9781441960450

ID: 9781441960450

In englischer Sprache. Verlag: Springer US, PC-PDF, 600 Seiten, XXII Seiten, 600 Seiten, 1., st Edition. [GR: 9632 - Nonbooks, PBS / Informatik, EDV/Informatik], [SW: - Graph], [DRM: 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.], [Ausgabe: 1]

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Managing and Mining Graph Data. Advances in Database Systems, Vol 40 - Charu C. Aggarwal, Haixun Wang
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Charu C. Aggarwal, Haixun Wang:
Managing and Mining Graph Data. Advances in Database Systems, Vol 40 - signiertes Exemplar

ISBN: 9781441960450

ID: 43769

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.[PU:Springer-Verlag], [PU: Springer]

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Managing and Mining Graph Data - Aggarwal, Charu C.; Wang, Haixun
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Aggarwal, Charu C.; Wang, Haixun:
Managing and Mining Graph Data - neues Buch

2010, ISBN: 1441960457

ID: 9781441960450

In englischer Sprache. Verlag: Springer US, Here is a thorough review of graph management and mining, offering extensive surveys on a variety of topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. PC-PDF, 600 Seiten, XXII Seiten, 600 Seiten, [GR: 9632 - Nonbooks, PBS / Informatik, EDV/Informatik], [SW: - Informatik], [Ausgabe: 2010][PU:Springer US], [PU: Springer]

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Managing and Mining Graph Data - Charu C. Aggarwal;  Charu C. Aggarwal;  Haixun Wang;  Haixun Wang
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Charu C. Aggarwal; Charu C. Aggarwal; Haixun Wang; Haixun Wang:
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Details zum Buch
Managing and Mining Graph Data. Advances in Database Systems, Vol 40
Autor:

Charu C. Aggarwal;Haixun Wang

Titel:

Managing and Mining Graph Data. Advances in Database Systems, Vol 40

ISBN-Nummer:

1441960457

Detailangaben zum Buch - Managing and Mining Graph Data. Advances in Database Systems, Vol 40


EAN (ISBN-13): 9781441960450
ISBN (ISBN-10): 1441960457
Erscheinungsjahr: 2010
Herausgeber: Springer US
600 Seiten
Sprache: eng/Englisch

Buch in der Datenbank seit 17.09.2011 20:38:57
Buch zuletzt gefunden am 26.10.2016 19:52:31
ISBN/EAN: 1441960457

ISBN - alternative Schreibweisen:
1-4419-6045-7, 978-1-4419-6045-0

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