2010, ISBN: 9781441960443

[ED: Gebunden], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as g… mais…

[ED: Gebunden], [PU: Springer US], Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on 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 leading researchers, 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.About the Editors: Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 600, [GW: 1066g], 2010, Banküberweisung, PayPal, Klarna-Sofortüberweisung, [CT: Sonstiges / Sonstiges]<

2010, ISBN: 1441960449

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,… mais…

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. Media Buch, 600 Seiten, Media > Books, Springer US, 2010<

2010, ISBN: 1441960449

[EAN: 9781441960443], Neubuch, [PU: Springer US], DATA MINING (EDV) GRAPH - GRAPHENTHEORIE INFORMATIONSTECHNOLOGIE IT TECHNOLOGIE INTERNET SUCHMETHODEN, SPEZIELLE ANWENDER MASCHINE SUCHMA… mais…

[EAN: 9781441960443], Neubuch, [PU: Springer US], DATA MINING (EDV) GRAPH - GRAPHENTHEORIE INFORMATIONSTECHNOLOGIE IT TECHNOLOGIE INTERNET SUCHMETHODEN, SPEZIELLE ANWENDER MASCHINE SUCHMASCHINE GRAFIK PROGRAMMIERUNG WAREHOUSE INFORMATIONSMANAGEMENT WA INFORMATIK EDV CLUSTERING, 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., Books<

ISBN: 9781441960443

Hardback, [PU: Springer-Verlag New York Inc.], Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of … mais…

Hardback, [PU: Springer-Verlag New York Inc.], 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., Computing: General, Graphical & Digital Media Applications, Graphics Programming, Software Engineering, Databases, Data Warehousing, Data Mining, Information Retrieval, Computer Science, Expert Systems / Knowledge-based Systems<

ISBN: 9781441960443

hardback, [PU: Springer]