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Computational Data and Social Networks [electronic resource] : 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings / edited by Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan.

Contributor(s): Chellappan, Sriram [editor.] | Choo, Kim-Kwang Raymond [editor.] | Phan, NhatHai [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 12575Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XXV, 538 p. 265 illus., 177 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030660468.Subject(s): Application software | Artificial intelligence | Data protection | Computers and civilization | Computer and Information Systems Applications | Artificial Intelligence | Data and Information Security | Computers and SocietyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online
Contents:
Combinatorial Optimization and Learning -- Computational Methods for Social Good Applications -- NLP and Affective Computing -- Privacy and Security -- Blockchain -- Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Information Spread in Social and Data Networks.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.
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Combinatorial Optimization and Learning -- Computational Methods for Social Good Applications -- NLP and Affective Computing -- Privacy and Security -- Blockchain -- Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Information Spread in Social and Data Networks.

This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.

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