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These large data are interesting to government or companies for big data analysis.
Large data are now being acquired while drilling, however not all of the data available is utilized appropriately to get the big picture of the well being drilled.
Even if the large data are not derived from full waveform captures in the future, the developed methods for the management and evaluation of large data will be needed, e.g., for the handling of a high number of measurement locations, since existing methods are not able to scale with rapid data growth.
All the critical aspects which are arising in identification of distributed parameter systems from large data are taken into consideration: the structure of the estimator is determined, an adequate variable selection is made and last but not least the distributed computation is solved using the distributed intelligent sensor placed into a network with a collecting base station.
Presently, most tasks done with large data are signal refinement or evaluation and hypothesis testing.
Similar(55)
Although a large data is accumulating on making alterations in microbial enzymes, there is a lack of definite information on redesigning industrial enzymes.
The impact on organisational culture, staff and interpretability issues were pointed out by 58% and the difficulties in migrating large data were pointed out by half of participants.
In group two, larger data are below the freezing level.
Larger data is simultaneously more costly to archive and easier to corrupt.
There are few reef regions where systematically collected large scale data are available.
In addition, very large prospective data are needed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com