Graph Data Mining Algorithm (17 results)
Language: English
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Series: Big Data Management, Book 3 of 4. Book 3 of 4 - Big Data Management
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Published by Springer 2022
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Taschenbuch. Condition: Neu. Graph Data Mining | Algorithm, Security and Application | Qi Xuan (u. a.) | Taschenbuch | Big Data Management | xvi | Englisch | 2022 | Springer | EAN 9789811626111 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com… | Anbieter: preigu.
Language: English
Published by Springer 2021
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Language: English
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore 2021
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Buch. Condition: 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 n…etworks. 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.
Language: English
Published by Springer, Springer 2022
Series: Big Data Management, Book 3 of 4. Book 3 of 4 - Big Data Management
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Taschenbuch. Condition: 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 s…ocial 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.
Graph Data Mining: Algorithm, Security and Application
Xuan, Qi (Editor)/ Ruan, Zhongyuan (Editor)/ Min, Yong (Editor)
Language: English
Published by Springer-Nature New York Inc 2021
Series: Big Data Management, Book 3 of 4. Book 3 of 4 - Big Data Management
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Hardcover. Condition: Brand New. 259 pages. 9.25x6.10x0.63 inches. In Stock.
Language: English
Published by Springer Singapore 2021
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Condition: 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 subgr…aph networks and graph .
Language: English
Published by Springer 2021
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Language: English
Published by Springer 2022
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Language: English
Published by Springer 2021
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Language: English
Published by Springer 2022
Series: Big Data Management, Book 3 of 4. Book 3 of 4 - Big Data Management
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