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

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

Результат исследования: Научные публикации в периодических изданиях › статья

10 Цитирования (Scopus)

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.

Язык оригинала	английский
Страницы (с-по)	1195-1209
Число страниц	15
Журнал	Journal of Mining Science
Том	52
Номер выпуска	6
DOI	https://doi.org/10.1134/S1062739116061747
Состояние	Опубликовано - 1 ноя 2016
Опубликовано для внешнего пользования	Да

Доступ к документу

10.1134/S1062739116061747

Link to publication in Scopus

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Цитировать

Bychkov, I. V., Vladimirov, D. Y., Oparin, V. N., Potapov, V. P., & Shokin, Y. I. (2016). Mining information science and Big Data concept for integrated safety monitoring in subsoil management. Journal of Mining Science, 52(6), 1195-1209. https://doi.org/10.1134/S1062739116061747

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keywords = "Big Data, cloud computing, computational and mini-clusters, distributed computing, geomechanical and geodynamic data flow computing, intelligent analysis, raw data sets, safe subsoil management",

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Mining information science and Big Data concept for integrated safety monitoring in subsoil management. / Bychkov, I. V.; Vladimirov, D. Ya; Oparin, V. N.; Potapov, V. P.; Shokin, Yu I.

В: Journal of Mining Science, Том 52, № 6, 01.11.2016, стр. 1195-1209.

Результат исследования: Научные публикации в периодических изданиях › статья

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