Sentence examples for data application processes from inspiring English sources

Exact(1)

While these data are accessible to approved researchers through the standard ethical and data application processes, they are not publicly available and are maintained by the relevant government data custodians.

Similar(59)

It would complement the existing method of providing data through the regular data application process.

Third, all communication is meant to serve the purpose of delivering data to application processes, and it is the data itself that is meaningful to applications.

Data mining, this is the whole fish bone drive a new term, is an abstract concept and improve the multidimensional-data bones application process data mining technology is applied to process optimization and structure of the data mining.

Over a period of 10 years, the FAW has developed a Software Engineering Paradigm to develop distributed data, applications, and processes for heterogeneous environments.

Honcker — a New York-based startup that acts as an aggregator and search engine for leasing services, and platform for would-be customers to consolidate their data and application process in one place — has raised funding from IAC, the media and marketplace giant behind services like Angie's List and Tinder, as well as Daily Beast and Vimeo.

Several important and well-known data analysis applications process data iteratively such as: PageRank, k-means clustering, logistic regression, single source shortest path, adsorption, connected components, descendant query, and Breadth-First Search [10].

Since 2013, the Entrepreneurship Database Program at Emory University has been partnering with accelerators and entrepreneur support programs to collect detailed data from entrepreneurs during their application processes.

The mobile application processes the data and recognizes the state of the user.

When publishers collect member data during the application process and subsequent touch points, they can connect members to the right resources at the right time.

Many important "big data" applications need to process data arriving in real time.

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