Mining information science and Big Data concept for integrated safety monitoring in subsoil management
- Авторлар: Bychkov I.V.1, Vladimirov D.Y.2, Oparin V.N.3, Potapov V.P.4, Shokin Y.I.5
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Мекемелер:
- 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
- Шығарылым: Том 52, № 6 (2016)
- Беттер: 1195-1209
- Бөлім: Geoinformation Science
- URL: https://journals.rcsi.science/1062-7391/article/view/184074
- DOI: https://doi.org/10.1134/S1062739116061747
- ID: 184074
Дәйексөз келтіру
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.
Авторлар туралы
I. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Хат алмасуға жауапты Автор.
Email: idstu@icc.ru
Ресей, ul. Lermontova 134, Irkutsk, 664033
D. Vladimirov
VIST Group
Email: idstu@icc.ru
Ресей, Dokuchaev per. 3, Bld. 1, Moscow, 107078
V. Oparin
Chinakal Institute of Mining, Siberian Branch
Email: idstu@icc.ru
Ресей, Krasnyi pr. 54, Novosibirsk, 630091
V. Potapov
Kemerovo Division, Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Ресей, ul. Rukavishnikova 21, Kemerovo, 650025
Yu. Shokin
Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Ресей, pr. Akademika Lavrentieva 6, Novosibirsk, 630090
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