Email this article Mining information science and Big Data concept for integrated safety monitoring in subsoil management
- Authors: Bychkov I.V.1, Vladimirov D.Y.2, Oparin V.N.3, Potapov V.P.4, Shokin Y.I.5
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Affiliations:
- 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
- Issue: Vol 52, No 6 (2016)
- Pages: 1195-1209
- Section: 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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Abstract
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.
About the authors
I. V. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Author for correspondence.
Email: idstu@icc.ru
Russian Federation, ul. Lermontova 134, Irkutsk, 664033
D. Ya. Vladimirov
VIST Group
Email: idstu@icc.ru
Russian Federation, Dokuchaev per. 3, Bld. 1, Moscow, 107078
V. N. Oparin
Chinakal Institute of Mining, Siberian Branch
Email: idstu@icc.ru
Russian Federation, Krasnyi pr. 54, Novosibirsk, 630091
V. P. Potapov
Kemerovo Division, Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Russian Federation, ul. Rukavishnikova 21, Kemerovo, 650025
Yu. I. Shokin
Institute of Computational Technologies, Siberian Branch
Email: idstu@icc.ru
Russian Federation, pr. Akademika Lavrentieva 6, Novosibirsk, 630090
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