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Computational Data and Social Networks

  • Kartonierter Einband
  • 556 Seiten
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This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoN... Weiterlesen
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Beschreibung

This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai, China, in December 2018.
The 44 revised full papers presented in this book toghether with 2 extended abstracts, were carefully reviewed and selected from 106 submissions. The topics cover the fundamental background, theoretical technology development, and real-world applications associated with complex and data network analysis, minimizing in uence of rumors on social networks, blockchain Markov modelling, fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others.

Zusammenfassung

This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai, China, in December 2018.

The 44 revised full papers presented in this book toghether with 2 extended abstracts, were carefully reviewed and selected from 106 submissions. 
The topics cover the fundamental background, theoretical technology development, and real-world applications associated with complex and data network analysis, minimizing in uence of rumors on social networks, blockchain Markov modelling, fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others. 


Inhalt
Theoretical technology development.- Real-world applications associated with complex and data network analysis.- Minimizing in uence of rumors on social networks.- Blockchain Markov modelling.- Fraud detection.- Data mining.-Internet of Things (IoT).- Internet of Vehicles (IoV).

Produktinformationen

Titel: Computational Data and Social Networks
Untertitel: 7th International Conference, CSoNet 2018, Shanghai, China, December 18-20, 2018, Proceedings
Editor:
EAN: 9783030046477
ISBN: 3030046478
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Anwendungs-Software
Anzahl Seiten: 556
Gewicht: 832g
Größe: H235mm x B155mm x T29mm
Jahr: 2018
Untertitel: Englisch
Auflage: 1st ed. 2018

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