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Data Analytics and Management in Data Intensive Domains 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers /

This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-27 October 2023. The 21 papers presented here were carefully reviewed and selected from 75 submis...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Baixeries, Jaume (Editor), Ignatov, Dmitry I. (Editor), Kuznetsov, Sergei O. (Editor), Stupnikov, Sergey (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Serier:Communications in Computer and Information Science, 2086
Fag:
Data mining.
Artificial intelligence.
Application software.
Social sciences > Data processing.
Image processing > Digital techniques.
Computer vision.
Software engineering.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Software Engineering.
Online adgang:https://doi.org/10.1007/978-3-031-67826-4
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Beskrivelse
Summary:This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-27 October 2023. The 21 papers presented here were carefully reviewed and selected from 75 submissions. These papers are organized in the following topical sections: Data Models and Knowledge Graphs; Databases in Data Intensive Domains; Machine learning methods and applications; Data Analysis in Astronomy & Information extraction from text. Papers from keynote talks have also been included in this book.
Fysisk beskrivelse:XXIX, 300 p. 105 illus., 74 illus. in color. online resource.
ISBN:9783031678264
ISSN:1865-0937 ;
DOI:10.1007/978-3-031-67826-4

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