Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Mining information science and Big Data concept for integrated safety monitoring in subsoil management. / Bychkov, I. V.; Vladimirov, D. Ya; Oparin, V. N. и др.
в: Journal of Mining Science, Том 52, № 6, 01.11.2016, стр. 1195-1209.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Mining information science and Big Data concept for integrated safety monitoring in subsoil management
AU - Bychkov, I. V.
AU - Vladimirov, D. Ya
AU - Oparin, V. N.
AU - Potapov, V. P.
AU - Shokin, Yu I.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - 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.
AB - 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.
KW - Big Data
KW - cloud computing
KW - computational and mini-clusters
KW - distributed computing
KW - geomechanical and geodynamic data flow computing
KW - intelligent analysis
KW - raw data sets
KW - safe subsoil management
UR - http://www.scopus.com/inward/record.url?scp=85029036447&partnerID=8YFLogxK
U2 - 10.1134/S1062739116061747
DO - 10.1134/S1062739116061747
M3 - Article
AN - SCOPUS:85029036447
VL - 52
SP - 1195
EP - 1209
JO - Journal of Mining Science
JF - Journal of Mining Science
SN - 1062-7391
IS - 6
ER -
ID: 25324387