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| Reihe | Theoretical Computer Science and General Issues |
|---|---|
| ISBN | 9783030914332 |
| Sprache | Englisch |
| Erscheinungsdatum | 04.12.2021 |
| Genre | Informatik, EDV/Anwendungs-Software |
| Verlag | Springer International Publishing |
| Herausgegeben von | David Mohaisen, Ruoming Jin |
| Lieferzeit | Lieferbar in 6 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic.
The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.
| Reihe | Theoretical Computer Science and General Issues |
|---|---|
| ISBN | 9783030914332 |
| Sprache | Englisch |
| Erscheinungsdatum | 04.12.2021 |
| Genre | Informatik, EDV/Anwendungs-Software |
| Verlag | Springer International Publishing |
| Herausgegeben von | David Mohaisen, Ruoming Jin |
| Lieferzeit | Lieferbar in 6 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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