Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13–16, 2020, Selected Proceedings: 1427 - Brossura
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This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020*.
The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: data Integration, conceptual models and ontologies; data management in semantic web; data analysis in medicine; data analysis in astronomy; information extraction from text.
* The conference was held virtually due to the COVID-19 pandemic.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Data Analytics and Management in Data Intensive Domains (eng)
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Data Analytics and Management in Data Intensive Domains (Paperback)
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Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030811999
ISBN 13: 9783030811990
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Paperback. Condizione: new. Paperback. This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020*.The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: data Integration, conceptual models and ontologies; data management in semantic web; data analysis in medicine; data analysis in astronomy; information extraction from text.* The conference was held virtually due to the COVID-19 pandemic. This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020*.The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783030811990
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Data Analytics and Management in Data Intensive Do
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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13-16, 2020, ... in Computer and Information Science)
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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13-16, 2020, ... in Computer and Information Science)
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Data Analytics and Management in Data Intensive Domains
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Springer International Publishing Jul 2021, 2021
ISBN 10: 3030811999
ISBN 13: 9783030811990
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020\*.The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: data Integration, conceptual models and ontologies; data management in semantic web; data analysis in medicine; data analysis in astronomy; information extraction from text.\* The conference was held virtually due to the COVID-19 pandemic. 252 pp. Englisch. Codice articolo 9783030811990
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Data Analytics And Management In Data In
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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13?16, 2020, . in Computer and Information Science)
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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13?16, 2020, . in Computer and Information Science)
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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13?16, 2020, . in Computer and Information Science)
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