Sentence examples for complexities in data from inspiring English sources

Big Data creates new requirements based on complexities in data capture, data storage, data analysis and data visualization.

It was in the interest of delimiting the parameters of our investigation and reducing potential complexities in data collection and analysis that we chose to focus on NCDs as the illness experience, rather than HIV/AIDS, or infectious disease.

It can also reduce the complexity in data processing.

Currently, there are no standardization of user requirement analysis approaches had been outlined and this leads to complexity in data warehouse design.

It is notable that treatment of diabetes has not been directly monitored by OECD indicators, largely due to complexity in data collection.

A case-cohort design offers significant gains in efficiency over a standard cohort study [ 16], at the cost of increased complexity in data analysis and the addition of a theoretical layer of assumptions about the uniformity of the cohort.

The signal-to-noise ratio of the 1D spectrum obtained in this way could have been slightly enhanced, at the expense of added complexity in data processing, by applying a suitable weighting as a function of diffusion-encoding gradient when co-adding the spectra.

It my also be useful in other taxa and may often be a strong complement to mtDNA data that can help identify species and check for possible NUMT or symbiont-induced complexities in the data, as these will not affect this nuclear region.

Under these circumstances, push pull test data should be evaluated to ensure the apparent rate is actually a function of time and that complexities in rate data be considered.

Mixture of experts (ME) models (Jacobs et al., 1991) and their generalization, hierarchical ME models (Jordan and Jacobs, 1994) were introduced to account for non-linearities and other complexities in the data.

Grakn - Grakn wants to be the platform of choice to allow enterprises to unlock 'knowledge' from their disparate, but logically linked, data sources using the Grakn 'knowledge base', which can be easily and efficiently queried and analysed, and which deals with complexity in the data and data relationships better than any visible competing approach.