作者International Conference on Data Analytics and Management in Data Intensive Domains (21st : 2019 : Kazan, Russia)
作者SpringerLink (Online service)
書名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
出版項Cham : Springer International Publishing : Imprint: Springer, 2020
其他作者Elizarov, Alexander,
Novikov, Boris,
Stupnikov, Sergey,
說明1 online resource (xvi, 247 pages) : illustrations, digital ; 24 cm
文字text
無媒介computer
成冊online resource
說明text file PDF
系列Communications in computer and information science, 1865-0929 ; 1223
Communications in computer and information science ; 1223
附註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
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
主題Human-computer interaction -- Congresses
Computer interfaces -- Congresses
Human behavior -- Congresses
Social media -- Congresses
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Artificial Intelligence
Software Engineering
Computer Appl. in Social and Behavioral Sciences
其他題名DAMDID/RCDL 2019
ISBN/ISSN9783030519131 (electronic bk.)
9783030519124 (paper)
10.1007/978-3-030-51913-1
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