Mining information science and Big Data concept for integrated safety monitoring in subsoil management

I. V. Bychkov; D. Ya. Vladimirov; V. N. Oparin; V. P. Potapov; Yu. I. Shokin

doi:10.1134/S1062739116061747

Mining information science and Big Data concept for integrated safety monitoring in subsoil management

作者: Bychkov I.V.¹, Vladimirov D.Y.², Oparin V.N.³, Potapov V.P.⁴, Shokin Y.I.⁵
隶属关系:
1. Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
2. VIST Group
3. Chinakal Institute of Mining, Siberian Branch
4. Kemerovo Division, Institute of Computational Technologies, Siberian Branch
5. Institute of Computational Technologies, Siberian Branch
期: 卷 52, 编号 6 (2016)
页面: 1195-1209
栏目: 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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详细

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.