Data Analytics and Management in Data Intensive Domains (eBook, PDF)
21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15-18, 2019, Revised Selected Papers Redaktion: Elizarov, Alexander; Stupnikov, Sergey; National Research University Higher School of Economics
Data Analytics and Management in Data Intensive Domains (eBook, PDF)
21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15-18, 2019, Revised Selected Papers Redaktion: Elizarov, Alexander; Stupnikov, Sergey; National Research University Higher School of Economics
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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 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.…mehr
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 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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Inhaltsangabe
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.
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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