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Viac informácií o knihe Managing and Mining Graph Data

• Parametre knihy
• Anotácia kniha
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Nákupom získate 523 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Books in English Computing & information technology Computer programming / software development Graphics programming

• Celý názov: Managing and Mining Graph Data
• Autor: Charu C. Aggarwal, Haixun Wang
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 600
• EAN: 9781441960443
• ISBN: 1441960449
• ID: 01423890
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 2340 g
• Rozmery: 235 × 155 × 48 mm
• Dátum vydania: 19. February 2010

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