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Titlebook: Data Analytics and Management in Data Intensive Domains; 21st International C Alexander Elizarov,Boris Novikov,Sergey Stupnikov Conference

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書(shū)目名稱Data Analytics and Management in Data Intensive Domains
副標(biāo)題21st International C
編輯Alexander Elizarov,Boris Novikov,Sergey Stupnikov
視頻videohttp://file.papertrans.cn/263/262690/262690.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Data Analytics and Management in Data Intensive Domains; 21st International C Alexander Elizarov,Boris Novikov,Sergey Stupnikov Conference
描述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..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; computer networks; computer systems; databases; Human-Computer Interaction (HCI
版次1
doihttps://doi.org/10.1007/978-3-030-51913-1
isbn_softcover978-3-030-51912-4
isbn_ebook978-3-030-51913-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Data Analytics and Management in Data Intensive Domains978-3-030-51913-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262690.jpg
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Do Students’ Dreams Now Fit in Ballot Boxes?onary of available modules (fully-connected, convolutional, recurrent, etc.). Being restricted with this set of modules complicates transferring technology to new tasks. On the other hand, many important applications already have a long history and successful algorithmic solutions. Is it possible to
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Gonzalo Jover,López-Martín,Patricia Quirogajust the food export structure to fit reality better. This problem implies long-term forecasting of the commodity combinations and export directions which could provide a persistent export gain in the future. Unfortunately, the existing solutions for food market forecasting tackle mainly with short-
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Abkhazia: A View from a , State for solving problems of spectroscopy. Two groups of the tasks on graphical resources management are discussed in the paper. The first group is oriented on the quality analysis of graphical resources and the representation of these results as a graphical resources ontology. The second group of tasks
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