Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sofya S. Titarenko"'
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-34 (2019)
Abstract Pattern mining is a powerful tool for analysing big datasets. Temporal datasets include time as an additional parameter. This leads to complexity in algorithmic formulation, and it can be challenging to process such data quickly and efficien
Externí odkaz:
https://doaj.org/article/a1a226bd49e442efa93388b1df3a1c7b
Autor:
Andrew M. McCaig, Sofya S. Titarenko, Ivan P. Savov, Robert A. Cliff, David Banks, Adrian Boyce, Samuele Agostini
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Boron is one of the main proxies for seawater-derived fluids in subduction zone volcanics and it is vital to characterise the location and concentration of boron in the oceanic lithosphere. Here the authors show that boron concentration in the mantle
Externí odkaz:
https://doaj.org/article/834b489c48254261ba5d88fa80916efd
Publikováno v:
Journal of Big Data; 5/13/2019, Vol. 6 Issue 1, pN.PAG-N.PAG, 1p
Autor:
McCaig, Andrew M., Titarenko, Sofya S., Savov, Ivan P., Cliff, Robert A., Banks, David, Boyce, Adrian, Agostini, Samuele
Publikováno v:
Nature Communications; 11/2/2018, Vol. 9 Issue 1, p1-1, 1p
Autor:
Vladimir Voevodin, Sergey Sobolev
This book constitutes the refereed proceedings of the Second Russian Supercomputing Days, RuSCDays 2016, held in Moscow, Russia, in September 2016. The 28 revised full papers presented were carefully reviewed and selected from 94 submissions. The pap
