Sentence examples for aggregated data set from inspiring English sources

Exact(8)

Longitudinal data can be organized most usefully in the form of ring diagrams, as shown in Figure 1a for the entire aggregated data set.

Similarly, data that has been published as part of an aggregated data set cannot meaningfully or practically be withdrawn at all from the public domain.

To reconstruct the co-authorship network, each unique author is represented by a node and links connect nodes that have co-authored at least one paper in the aggregated data set.

The aggregated data set contains all experimentally detected human- F. tularensis PPIs and computationally derived human (murine orthologs)- F. tularensis PPIs and consists of 298 unique interactions between 18  F.

We do the same with the economic success of governments; measure it by an aggregated data set that fails to take into account wealth distribution, educational achievement, innovation, or even the welfare and health of the population they claim to represent.

The human phosphoproteins in the aggregated data set map to 8611 genes, or ∼43% of the total.

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Similar(52)

The growing ubiquity of mobile phones and smartphone applications has ushered in an era in which tremendous amounts of user data have become available to the companies that operate and distribute them - sometimes released publicly as "anonymised" or aggregated data sets.

In addition, aggregated data sets will be provided a version number, and major changes between versions will be explicitly reported in the NCS.

Thus, using this technology it is possible to create aggregated data sets formed by the Cartesian product of two object oriented data systems, just as it is possible to create aggregated virtual tables in an RDBMS using foreign key relationships.

The pharmacovigilance system in the EU requires a harmonized method of classification of biologics in order to make aggregated data sets, such as Eudravigilance, of the highest value [ 21].

Analysts in the marketing industry typically spend the bulk of their time aggregating data sets and creating spreadsheets and dashboards for executives.

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