Exact(7)
Minimizing latency is of primary importance for data aggregation which is an essential application in wireless sensor networks.
More precisely, being able to link data about the same individual in different data sets is of foremost importance for data analysis.
Understanding nodes mobility is of fundamental importance for data delivery in opportunistic and intermittently connected networks referred to as Delay Tolerant Networks (DTNs).
Simulation of particle size evolution and of scale formation and corrosion along the flow path is of the greatest importance for data interpretation as well as for engineering applications (eg minimisation of the scale formation) in geothermal and hot water plants.
This feature is of critical importance for data quality purposes.
Moreover, and of importance for data interpretation in further studies, we found that in some samples virtually all Oct-4A was in the ~90 kDa SUMOylated form.
Similar(53)
There was less variation in variable importance for simulated data compared to case study data, suggesting the case study data does have a missingness structure.
US macroeconomic news announcements, which have been identified as one driver of return seasonality in previous studies using non-US data, are of little importance for our data set of German stocks.
Of particular importance for the data set analysis is the opportunity to perform graphical analysis of the data set or subset.
This is of particular importance for unbalanced data sets.
Feature selection is a task of fundamental importance for many data mining or machine learning applications, including regression.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com