Verlag: Cambridge University Press, 2021
ISBN 10: 110849854X ISBN 13: 9781108498548
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Verlag: Cambridge University Press, 2021
ISBN 10: 110849854X ISBN 13: 9781108498548
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Verlag: Springer-Nature New York Inc, 2022
ISBN 10: 3031037561 ISBN 13: 9783031037566
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In den WarenkorbPaperback. Zustand: Brand New. 151 pages. 9.50x7.75x0.50 inches. In Stock.
Verlag: Cambridge University Press, 2020
ISBN 10: 110849854X ISBN 13: 9781108498548
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Verlag: Springer-Verlag New York Inc, 2020
ISBN 10: 3030349799 ISBN 13: 9783030349790
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Verlag: Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
ISBN 10: 3031037561 ISBN 13: 9783031037566
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -Networks naturally appear in many high-impact domains, ranging from social network analysis to disease dissemination studies to infrastructure system design. Within network studies, network connectivity plays an important role in a myriad of applications. The diversity of application areas has spurred numerous connectivity measures, each designed for some specific tasks. Depending on the complexity of connectivity measures, the computational cost of calculating the connectivity score can vary significantly. Moreover, the complexity of the connectivity would predominantly affect the hardness of connectivity optimization, which is a fundamental problem for network connectivity studies. This book presents a thorough study in network connectivity, including its concepts, computation, and optimization. Specifically, a unified connectivity measure model will be introduced to unveil the commonality among existing connectivity measures. For the connectivity computation aspect, the authors introduce the connectivity tracking problems and present several effective connectivity inference frameworks under different network settings. Taking the connectivity optimization perspective, the book analyzes the problem theoretically and introduces an approximation framework to effectively optimize the network connectivity. Lastly, the book discusses the new research frontiers and directions to explore for network connectivity studies. This book is an accessible introduction to the study of connectivity in complex networks. It is essential reading for advanced undergraduates, Ph.D. students, as well as researchers and practitioners who are interested in graph mining, data mining, and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
Verlag: Springer International Publishing, Springer Nature Switzerland Nov 2019, 2019
ISBN 10: 3030349799 ISBN 13: 9783030349790
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019.The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; In¿uence Modeling, Propagation, and Maximization; NLP and A¿ective Computing; Computational Methods for Social Good; and User Pröling and Behavior Modeling.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
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In den WarenkorbZustand: New. This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, .
Verlag: Springer International Publishing, 2022
ISBN 10: 3031037561 ISBN 13: 9783031037566
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Networks naturally appear in many high-impact domains, ranging from social network analysis to disease dissemination studies to infrastructure system design. Within network studies, network connectivity plays an important role in a myriad of applications. The diversity of application areas has spurred numerous connectivity measures, each designed for some specific tasks. Depending on the complexity of connectivity measures, the computational cost of calculating the connectivity score can vary significantly. Moreover, the complexity of the connectivity would predominantly affect the hardness of connectivity optimization, which is a fundamental problem for network connectivity studies. This book presents a thorough study in network connectivity, including its concepts, computation, and optimization. Specifically, a unified connectivity measure model will be introduced to unveil the commonality among existing connectivity measures. For the connectivity computation aspect, the authors introduce the connectivity tracking problems and present several effective connectivity inference frameworks under different network settings. Taking the connectivity optimization perspective, the book analyzes the problem theoretically and introduces an approximation framework to effectively optimize the network connectivity. Lastly, the book discusses the new research frontiers and directions to explore for network connectivity studies. This book is an accessible introduction to the study of connectivity in complex networks. It is essential reading for advanced undergraduates, Ph.D. students, as well as researchers and practitioners who are interested in graph mining, data mining, and machine learning.
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030349799 ISBN 13: 9783030349790
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 53,49
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 8th InternationalConference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City,Vietnam, in November 2019.The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions.The papers appear under the following topical headings: Combinatorial Optimization and Learning; In uence Modeling, Propagation, and Maximization; NLP and A ective Computing; Computational Methods for Social Good; and User Profiling and Behavior Modeling.
EUR 91,66
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In den WarenkorbZustand: New. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networksAddresses advanced topics in one dedicated chapt.
Verlag: Springer International Publishing, 2018
ISBN 10: 3030021009 ISBN 13: 9783030021009
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
EUR 39,79
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0128117605 ISBN 13: 9780128117606
Sprache: Englisch
Anbieter: preigu, Osnabrück, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Data Mining | Concepts and Techniques | Hanghang Tong (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Science & Technology | EAN 9780128117606 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.