Отправить статью по E-mail Mining information science and Big Data concept for integrated safety monitoring in subsoil management
- Авторы: Bychkov I.V.1, Vladimirov D.Y.2, Oparin V.N.3, Potapov V.P.4, Shokin Y.I.5
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Учреждения:
- Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
- VIST Group
- Chinakal Institute of Mining, Siberian Branch
- Kemerovo Division, Institute of Computational Technologies, Siberian Branch
- Institute of Computational Technologies, Siberian Branch
- Выпуск: Том 52, № 6 (2016)
- Страницы: 1195-1209
- Раздел: Geoinformation Science
- URL: https://ogarev-online.ru/1062-7391/article/view/184074
- DOI: https://doi.org/10.1134/S1062739116061747
- ID: 184074
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Аннотация
The discussed challenge and its prospects in mining geoinformation science are connected with Big Data concept—flows of large sets of various data on mining. The authors describe Big Data technology and its general implementation on mini-clusters using Hadoop and MapReduce with case studies presented.
Об авторах
I. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Автор, ответственный за переписку.
Email: idstu@icc.ru
Россия, ul. Lermontova 134, Irkutsk, 664033
D. Vladimirov
VIST Group
Email: idstu@icc.ru
Россия, Dokuchaev per. 3, Bld. 1, Moscow, 107078
V. Oparin
Chinakal Institute of Mining, Siberian Branch
Email: idstu@icc.ru
Россия, Krasnyi pr. 54, Novosibirsk, 630091
V. Potapov
Kemerovo Division, Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Россия, ul. Rukavishnikova 21, Kemerovo, 650025
Yu. Shokin
Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Россия, pr. Akademika Lavrentieva 6, Novosibirsk, 630090
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