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Using a multi scale dataset for climate data, they demonstrated a cloud based large scale data integration and analytics approach where they made use of tools such as RapidMiner and Hadoop to process the data in a hybrid cloud.
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Multi-scale dataset for this regional characterization is obtained from laboratory measured petrophysical parameters, well-log measurements as well as seismic data.
These algorithms were tested separately using a field-scale dataset and a regional scale dataset.
Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets.
Zhao, X. Multi-scale multi-mechanism design of tough hydrogels: Building dissipation into stretchy networks.
Hahn, O. & Abel, T. Multi-scale initial conditions for cosmological simulations.
Alessandretti, L., Sapiezynski, P., Lehmann, S. & Baronchelli, A. Multi-scale spatio-temporal analysis of human mobility.
Characterization and Measurement of Multi-Scale Gas Transport in Shale Core Samples.
Several large-scale datasets developed recently are introduced.
The physical origin of the existence of multi-scales in spatio-temporal dynamics structures is still to be understood.
This eventually produces large-scale datasets.
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CEO of Professional Science Editing for Scientists @ prosciediting.com