Sergey Stupnikov (ed.) | Akateeminen Kirjakauppa

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DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS : XIX INTERNATIONAL CONFERENCE, DAMDID/RCDL 2017, MOSCOW, RUSSIA, OCTOBE

Tekijä: Leonid Kalinichenko (ed.); Yannis Manolopoulos (ed.); Oleg Malkov (ed.); Nikolay Skvortsov (ed.); Sergey Stupnikov (ed.)
Kustantaja: Springer (2018)
Saatavuus: Noin 17-20 arkipäivää

EUR 49,60

DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS : 20TH INTERNATIONAL CONFERENCE, DAMDID/RCDL 2018, MOSCOW, RUSSIA, OCTOB

Tekijä: Yannis Manolopoulos (ed.); Sergey Stupnikov (ed.)
Kustantaja: Springer (2019)
Saatavuus: Noin 17-20 arkipäivää

EUR 49,60

DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS : 21ST INTERNATIONAL CONFERENCE, DAMDID/RCDL 2019, KAZAN, RUSSIA, OCTOBE

Tekijä: Alexander Elizarov (ed.); Sergey Stupnikov (ed.)
Kustantaja: Springer (2020)
Saatavuus: Noin 17-20 arkipäivää

EUR 49,60

DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS : 23RD INTERNATIONAL CONFERENCE, DAMDID/RCDL 2021, MOSCOW, RUSSIA, OCTOB

Tekijä: Alexei Pozanenko (ed.); Sergey Stupnikov (ed.); Bernhard Thalheim (ed.); Eva Mendez (ed.); Nadezhda Kiselyova (ed.)
Kustantaja: Springer (2022)
Saatavuus: Noin 17-20 arkipäivää

EUR 78,60

Data Analytics and Management in Data Intensive Domains : XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, Octobe

Leonid Kalinichenko (ed.), Yannis Manolopoulos (ed.), Oleg Malkov (ed.), Nikolay Skvortsov (ed.), Sergey Stupnikov (ed.)

49,60 €

Springer
Sivumäärä: 281 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2018, 13.07.2018 (lisätietoa)
Kieli: Englanti

This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.

The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.

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