Sentence examples for quantitative dataset from inspiring English sources

In this study, we propose a fast algorithm to form product-based fuzzy association rules from large quantitative dataset, which reduces data size and ensures the quality of the obtained results.

The Roots project includes a large quantitative dataset with administrative data from middle school through college graduation of students who graduated from North Carolina high schools in 2004 and matriculated to one of the 16 campuses of the University of North Carolina (UNC) system.

Results from our quantitative dataset suggest that all four FGFRs were activated upon FGF-2 stimulation.

The results of this biological survey will be reported elsewhere, but the method employed allowed a rich quantitative dataset to be collected cost-effectively, in conditions that precluded the use of other methods.

Any systematic examination of the characteristics of London's parish apprentices requires a large quantitative dataset.

This quantitative dataset was deployed to discover associated biomarker signatures with clinical records that hold prognostic value of disease outcome.

The challenge of amalgamating data in the systems biology paradigm necessitates the further generation of large, high-quality quantitative datasets to accurately model parasite biology.

Because insightful problem solving has been examined closely in nonhuman primates, providing detailed quantitative datasets lacking in humans, we tested the model by comparing simulations to insightful problem solving by rhesus monkeys.

However, there is a salient gap in the literature on the investigation of hybrid objective function development for energy optimization problems including qualitative and quantitative datasets in their constructs.

In that regard, Big Data is gaining meaning into social science from quantitative datasets side, which differs from traditional social science where collecting data has always been hard, time consuming, and resource intensive.

We present a proposal for a similar universal standard for citing quantitative data that retains the advantages of print citations, adds other components made possible by, and needed due to, the digital form and systematic nature of quantitative datasets, and is consistent with most existing subfield-specific approaches.