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Record Nr. |
UNINA9910413445903321 |
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Titolo |
Data Analytics and Management in Data Intensive Domains : 21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15–18, 2019, Revised Selected Papers / / edited by Alexander Elizarov, Boris Novikov, Sergey Stupnikov |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XVI, 247 p. 78 illus., 34 illus. in color.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0929 ; ; 1223 |
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Disciplina |
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Soggetti |
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Data mining |
Application software |
Artificial intelligence |
Software engineering |
Data Mining and Knowledge Discovery |
Information Systems Applications (incl. Internet) |
Artificial Intelligence |
Software Engineering |
Computer Appl. in Social and Behavioral Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Advanced data analysis methods -- Data infrastructures and integrated information systems -- Models, ontologies and applications -- Data analysis in astronomy -- Information extraction from text -- Distributed computing -- Data science for education. |
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Sommario/riassunto |
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This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2019, held in Kazan, Russia, in October 2019. The 11 revised full papers presented together with four invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical |
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sections: advanced data analysis methods; data infrastructures and integrated information systems; models, ontologies and applications; data analysis in astronomy; information extraction from text; distributed computing; data science for education. |
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