Managing and Mining Graph Data: 40 (Advances in Database Systems) - Tapa blanda

9781461425601: Managing and Mining Graph Data: 40 (Advances in Database Systems)

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ISBN 10: 1461425603 ISBN 13: 9781461425601

Editorial: Springer, 2012

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“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)

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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.

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EditorialSpringer
A�o de publicaci�n2012
ISBN 10 1461425603
ISBN 13 9781461425601
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas636
EditorAggarwal Charu C., Wang Haixun

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9781441960443: Managing and Mining Graph Data: 40 (Advances in Database Systems)

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ISBN 10: 1441960449 ISBN 13: 9781441960443
Editorial: Springer, 2010
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Managing and Mining Graph Data (Advances in Database Systems, 40)

Publicado por Springer, 2012

ISBN 10: 1461425603 ISBN 13: 9781461425601

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Managing and Mining Graph Data (Advances in Database Systems, 40)

Publicado por Springer, 2012

ISBN 10: 1461425603 ISBN 13: 9781461425601

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Managing and Mining Graph Data

Aggarwal, Charu C.|Wang, Haixun

Publicado por Springer US, 2012

ISBN 10: 1461425603 ISBN 13: 9781461425601

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Edited volume combines research in one, easily-accessible resourceEach chapter serves as point of entry into a specific topicManaging and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains exten. N� de ref. del art�culo: 4197555

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Managing and Mining Graph Data

Haixun Wang

Publicado por Springer US Apr 2012, 2012

ISBN 10: 1461425603 ISBN 13: 9781461425601

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 636 pp. Englisch. N� de ref. del art�culo: 9781461425601

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Managing and Mining Graph Data

Haixun Wang

Publicado por Springer US, Springer US, 2012

ISBN 10: 1461425603 ISBN 13: 9781461425601

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9781461425601

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