From Security to Community Detection in Social Networking Platforms (Lecture Notes in Social Networks) - Tapa dura
Sinopsis
This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling.
The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM ’17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling.
The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.
"Sobre este título" puede pertenecer a otra edición de este libro.
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From Security to Community Detection in Social Networking Platforms (Lecture Notes in Social Networks)
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From security to community detection in social networking platforms.
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Cham, Springer., 2019
ISBN 10: 3030112853
ISBN 13: 9783030112851
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X, 237 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture notes in social networks. Sprache: Englisch. Nº de ref. del artículo: 9665JB
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From Security to Community Detection in Social Networking Platforms (Lecture Notes in Social Networks)
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From Security to Community Detection in Social Networking Platforms
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From Security to Community Detection in Social Networking Platforms
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From Security to Community Detection in Social Networking Platforms
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Springer International Publishing Apr 2019, 2019
ISBN 10: 3030112853
ISBN 13: 9783030112851
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field. 248 pp. Englisch. Nº de ref. del artículo: 9783030112851
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From Security to Community Detection in Social Networking Platforms
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Springer International Publishing, 2019
ISBN 10: 3030112853
ISBN 13: 9783030112851
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Librería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains state-of-the-art methodologies for community detectionFeatures prediction techniques based on social network analysisIncludes detailed tables, illustrative figures, and techniques for graph analysis. Nº de ref. del artículo: 257580970
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From Security to Community Detection in Social Networking Platforms (Lecture Notes in Social Networks)
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030112853
ISBN 13: 9783030112851
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Gebundene Ausgabe. Condición: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field. Nº de ref. del artículo: INF1000546137
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From Security to Community Detection in Social Networking Platforms
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