The phrase "a wider data" is not correct in standard written English.
The correct form would typically be "wider data set" or "wider range of data."
Example: "To improve our analysis, we need to gather a wider range of data from various sources."
Alternatives: "broader data" or "expanded data set."
It used a wider data set from the national pupil database of students who sat GCSEs between 2001 and 2008 and then followed their university career.
These services will include customising the content of the app (surveys and reports), delivering training to use the app as part of a wider data analysis project (monitoring and evaluation, verification work, policy design etc) and hosting the database on a server.
Vice versa the greater RMSE evoke the model is valid for a wider data range, while the inaccuracies of the training data interval are overvalued (Figure 7a).
Besides having a wider data set in general to draw upon, being a mobile service means that PayPal will be able to detect in real-time and confirm with the user when unusual activity occurs.
In the effort of lowering the barriers to entry, we are then actually solving two problems, such as providing a wider data access and a more efficient data monetization mechanism.
In her blog post she also flags a wider data protection concern related to companies triangulating user data via acquisition — a concern that has also been voiced by the EU's competition commissioner this year.
While the Guardian works on a wider data-driven project analysing the causes and consequences of the England riots, the court list has been removed from public view.
On-chip coprocessor register files and a wide data path between the memory and co-processor minimize data transfer overhead.
The possibility to a wide data collection from industrial processes makes possible to act smart action related to the system changes.
Empirical regression models are generated from saturated roundabout entries and, based on a wide data collection, establish relationships between capacity and geometric design features [21].
(Giraud-Carrier and Povel 2003) c) Clustering: perhaps the most significant, is concerned with normalizing a wide data series into groupings that typically have some association with the mean metric of the group to which they belong (Jain 2010).
