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

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Methodology for Automated Identifying Food Export Potentialrk itself uses multimodal data from various databases to detect these commodities and export directions. We propose a quantile nonlinear autoregressive exogenous model together with pre-filtering to tackle with such long-term prediction tasks. The framework also considers textual information from ma

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Integration of the JINR Hybrid Computing Resources with the DIRAC Interware for Data Intensive Applirent scientific groups by providing a single interface to a variety of computing resources: grid cluster, computing cloud, supercomputer Govorun, disk and tape storage systems. The DIRAC based solution was proposed for the currently operational Baryonic Matter at Nuclotron experiment as well as for

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Gonzalo Jover,López-Martín,Patricia Quirogark itself uses multimodal data from various databases to detect these commodities and export directions. We propose a quantile nonlinear autoregressive exogenous model together with pre-filtering to tackle with such long-term prediction tasks. The framework also considers textual information from ma

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Human Resources and Market Reformsrent scientific groups by providing a single interface to a variety of computing resources: grid cluster, computing cloud, supercomputer Govorun, disk and tape storage systems. The DIRAC based solution was proposed for the currently operational Baryonic Matter at Nuclotron experiment as well as for

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Conference proceedings 2020 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

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