9780443296543 - applied graph data science: graph algorithms and platforms, knowledge graphs, neural networks, and applied use cases (15 resultados)
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Applied Graph Data Science : Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks and Applied Use Cases
Raj, Pethuru (EDT); Dutta, Pushan Kumar (EDT); Chong, Peter Han Joo (EDT); Song, Houbing Herbert (EDT); Zaitsev, Dmitry A. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 214,13
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Applied Graph Data Science : Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks and Applied Use Cases
Raj, Pethuru (EDT); Dutta, Pushan Kumar (EDT); Chong, Peter Han Joo (EDT); Song, Houbing Herbert (EDT); Zaitsev, Dmitry A. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 201,36
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Applied Graph Data Science : Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks and Applied Use Cases
Raj, Pethuru (EDT); Dutta, Pushan Kumar (EDT); Chong, Peter Han Joo (EDT); Song, Houbing Herbert (EDT); Zaitsev, Dmitry A. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 226,93
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Condición: As New. Unread book in perfect condition.
Applied Graph Data Science : Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks and Applied Use Cases
Raj, Pethuru (EDT); Dutta, Pushan Kumar (EDT); Chong, Peter Han Joo (EDT); Song, Houbing Herbert (EDT); Zaitsev, Dmitry A. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 226,15
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 249,77
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Paperback. Condición: New. Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practica…l research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 209,15
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Condición: New. Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applicationsGives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emp.
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 236,52
Envío por EUR 75,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practica…l research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 289,00
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Taschenbuch. Condición: Neu. Neuware - Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with…its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 148,78
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Condición: new. Questo è un articolo print on demand.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 166,50
Envío por EUR 14,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 250 pages. 9.25x7.50x10.50 inches. In Stock. This item is printed on demand.
