Sentence examples for processing of volumes from inspiring English sources

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Although they are mature and still useful for many applications, but processing of volumes of data using multi-joins is prone to performance issues [12, 13].

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Later, many researches were conducted to optimize this technique through the use of spatial data structures to improve the processing of volume data.

DOI: http://dx.doi.org/10.7554/eLife.09388.004 10.7554/eLiFigure88.005 Figure 2 figure supplement 1. Image processing of volume renderings and removal of perineurial sheath.

It provides a simple, extensible, and robust framework built on top of Google MapReduce and Apache Hadoop, and is capable of processing large volumes of data quickly in a highly parallel manner.

The proposed KM-HMR achieves the above goal of processing large volumes of data in parallel with the MapReduce programming model.

Paper 2: Tracking time evolving data streams for short-term traffic forecasting, by Amr Abdullatif, Francesco Masulli, and Stefano Rovetta, addresses the problem of processing large volumes of traffic flow data collected in a real-time setting.

Investors who call for a ban on market technology and high-frequency trading (the two are really the same discipline) should consider the following: Unlike 20 years ago, we are now bombarded by millions of data points every second -- market data, economic indicators, news, Twitter, etc. Human eyes are biologically incapable of processing such volumes of information.

De novo assembly software must deal with sequencing errors, repeat structures, and the computational complexity of processing large volumes of data [ 2].

Consequently, there is a need for the design of computational tools and analysis methods capable of efficiently processing such volumes of structural data.

Finally, it shows the viability of the application of NLP and ML techniques to processing large volumes of email messages, incorporating analysis of the content of messages, not just counts or network structure.

The SAGE system will be capable of storing and processing immense volumes of data at the Exascale regime, and provide the capability for Exascale class applications to use such a storage infrastructure.

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