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020 _a9783030812003
024 7 _a10.1007/978-3-030-81200-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aT58.6
_b2021 EB
245 0 0 _aData Analytics and Management in Data Intensive Domains :
_b22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13-16, 2020, Selected Proceedings
_cedited by Alexander Sychev, Sergey Makhortov, Bernhard Thalheim
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XX, 231 páginas)
_b50 ilustraciones, 24 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1427
490 0 _aComputer Science (SpringerNature-11645)
490 0 _aComputer Science (R0) (SpringerNature-43710)
505 0 _aKeynote Abstracts -- Data Integration, Conceptual Models and Ontologies -- Data Management in Semantic Web -- Data Analysis in Medicine -- Data Analysis in Astronomy -- Information Extraction from Text
520 3 _aThis 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.
988 _aSpringer_Computer_2021
650 7 _2embne
_9145258
_aSistemas de información en la gestión
_vCongresos y asambleas
700 1 _aSychev, Alexander
_eeditor literario
700 1 _aMakhortov, Sergey
_eeditor literario
700 1 _aThalheim, Bernhard
_eeditor literario
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81200-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2022
_dz
_eu
_zSI