Big Data Analytics and Pattern Recognition Methods in the Problem of Optimization of Technological Processes in Metallurgical Production

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Big Data Analytics and Pattern Recognition Methods in the Problem of Optimization of Technological Processes in Metallurgical Production. / Gainanov, D.; Berenov, D.
в: Journal of Physics: Conference Series, Том 913, № 1, 012003, 25.10.2017.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

BibTeX

@article{300b2121ded847e3a428c8c6f36b423b,

title = "Big Data Analytics and Pattern Recognition Methods in the Problem of Optimization of Technological Processes in Metallurgical Production",

author = "D. Gainanov and D. Berenov",

year = "2017",

month = oct,

day = "25",

doi = "10.1088/1742-6596/913/1/012003",

language = "English",

volume = "913",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "Institute of Physics Publishing",

number = "1",

}

RIS

TY - JOUR

T1 - Big Data Analytics and Pattern Recognition Methods in the Problem of Optimization of Technological Processes in Metallurgical Production

AU - Gainanov, D.

AU - Berenov, D.

PY - 2017/10/25

Y1 - 2017/10/25

UR - http://www.scopus.com/inward/record.url?scp=85034218432&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000424321900003

U2 - 10.1088/1742-6596/913/1/012003

DO - 10.1088/1742-6596/913/1/012003

M3 - Article

AN - SCOPUS:85034218432

VL - 913

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012003

ER -

ID: 6159516