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Hardcover. Condition: Good. ARRIVES IN 2-4 BUSINESS DAYS if you choose Expedited Shipping! May contain highlighting/underlining/notes/etc. May have used stickers on cover. Access codes and supplements are not guaranteed to be included with used books. Ships same or next day. Expedited shipping: 3-5 business days, Standard shipping: 4-14 business days.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 257.39
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 636.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 291.62
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Condition: New. pp. 636.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer US, Springer US, 2012
ISBN 10: 1461425603 ISBN 13: 9781461425601
Taschenbuch. Condition: 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.
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Buch. Condition: 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.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer-Verlag New York Inc., US, 2010
ISBN 10: 1441960449 ISBN 13: 9781441960443
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 348.54
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Add to basketHardback. Condition: New. 2010 ed. 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.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461425603 ISBN 13: 9781461425601
US$ 357.28
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Add to basketPaperback. Condition: Brand New. 622 pages. 9.00x6.00x1.25 inches. In Stock.
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Managing and Mining Graph Data (Advances in Database Systems, 40)
Book 31 of 42: Advances in Database SystemsUS$ 370.41
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer-Verlag New York Inc., US, 2010
ISBN 10: 1441960449 ISBN 13: 9781441960443
US$ 342.02
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 2010 ed. 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.
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US$ 218.21
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Add to basketCondition: 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.
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US$ 219.98
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: 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.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by SPRINGER NATURE Feb 2010, 2010
ISBN 10: 1441960449 ISBN 13: 9781441960443
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. 600 pp. Englisch.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer US Apr 2012, 2012
ISBN 10: 1461425603 ISBN 13: 9781461425601
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Taschenbuch. Condition: Neu. Managing and Mining Graph Data | Haixun Wang (u. a.) | Taschenbuch | xxii | Englisch | 2012 | Springer US | EAN 9781461425601 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Managing and Mining Graph Data
Book 31 of 42: Advances in Database SystemsLanguage: English
Published by Springer US, Springer US Apr 2012, 2012
ISBN 10: 1461425603 ISBN 13: 9781461425601
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 636 pp. Englisch.
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US$ 310.41
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Add to basketCondition: New. Print on Demand pp. 636 Illus.
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Condition: New. PRINT ON DEMAND pp. 636.
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Add to basketCondition: New. Print on Demand pp. 636 20 Illus.
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Condition: New. PRINT ON DEMAND pp. 636.
