Sentence examples for paradigm of data from inspiring English sources

"We'll judge our success by whether we build a new paradigm of data," said Mr. Franklin, director of A.M.P. Expedition.

List comprehensions reinforce the paradigm of data processing using the conventional interface of sequences, as list is a sequence data type.

Crowdsourcing allows large-scale and flexible invocation of human input for data gathering and analysis, which introduces a new paradigm of data mining process.

The RPPA community is embracing the new paradigm of data sharing, which is designed to accelerate the discovery of cancer biomarkers and implementation of them in cancer patient management.

This paradigm of data management is brand new.

The present experimental investigation of pronominal reference provides an additional new paradigm of data in support of the view presented in Yang et al. (1999, 2003) that syntax does have the potential to exert itself as a force in the computation of anaphoric relations in Chinese and that a default subject bias exists in the linking of pronouns with their antecedents.

The research has explored the fundamentally changing paradigm of data-intensive systems and its emerging frontier of Big Data and Data Science, and on how software architecture and software reuse can assist in bridging the boundary in science from a previously silo'ed and independent nature to one that is increasingly more collaborative, and multi-disciplinary.

Overall, as we have showed in this article, the relatively unexplored paradigm of data-driven information retrieval in transcriptomics data offers the possibility of obtaining novel biological findings based on existing data, and holds the potential to ultimately accelerate biomedical research in areas as diverse as drug repurposing or biomarker development.

Data Mining and Analytics introduces students to the practical fundamentals and emerging paradigms of data mining and machine learning with enough theory to aid intuition building.

As this data increases, management is perhaps the biggest problem to address within this paradigm of big data as missing data often occurs and is harder to validate, given the volume of information (Kaisler et al. 2013).

All authors were involved in the design of the paradigm, interpretation of data, and revision of the manuscript.