Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 175,02
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 175,02
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 175,01
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 191,64
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 196,41
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 197,57
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 233,34
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 233,55
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Añadir al carritoCondición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 188,90
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic - the security of graph data mining - and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811626081 ISBN 13: 9789811626081
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 188,08
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic - the security of graph data mining - and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2021
ISBN 10: 9811626081 ISBN 13: 9789811626081
Librería: Revaluation Books, Exeter, Reino Unido
EUR 270,43
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Añadir al carritoHardcover. Condición: Brand New. 259 pages. 9.25x6.10x0.63 inches. In Stock.
Librería: moluna, Greven, Alemania
EUR 153,73
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of the state-of-the-art in graph data mining algorithmsIntroduces various key applications of the advanced graph data mining techniquesPresents robust graph data mining based on subgraph networks and graph .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 247,35
Cantidad disponible: 4 disponibles
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 247,83
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 249,30
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 249,89
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