Sentence examples for real data sources from inspiring English sources

The analysis has consisted on the application of different data mining techniques to extract useful knowledge, traffic forecasting methods to perform accurate predictions, and statistical analyses to model and validate the system reliability (comparing to other real data sources).

Test data: To test the performance with as most application-related data as possible, real data sources for both queries (microRNA) and reference (3' UTRs) were used.

(Real data source: WHO report of 2014 Ebola outbreak in Liberia from July 14 to October 12, 2014).

To evaluate the proposed method's robustness with respect to noise in real life data sources, multiples of 37 (the number of known breast cancer genes in the PPI network) genes were sampled from the GOSet (ranging from 0 to 50, with 0 meaning no noise added).

For the problems based on real data, no source model is available, and no such comparisons can be made.

Largely driven by the rise of connected real-time data sources, this data presents technical challenges and opportunities.

However, finding exact matches of an entity can be challenging due to records with typographical, phonetical or other types of errors (noise) found across real-world data sources.

On the one hand, the growth of the transport infrastructure and the fast evolution of mobility patterns call for models that are informed by real-time data sources.

"Our plan is to use Algo's tech to further strengthen our enterprise-level media analytics and insights platform by bringing on Algo's patented Velocity of Information engine," he said, "which surfaces relevant rising trends across tens of millions of real-time data sources".

The conclusion obtained is that most of the research is based on the operational phase as opposed to the design phase, and most studies have been tested on real-world data sources, where a lot of them are heterogeneous, but just a few apply to industry.

We systematically ran the model with many thousands of different combinations of the unknown parameters in order to find the combination which yielded model outcomes most consistent with a real world data source [ 54].