Sentence examples for aim at data from inspiring English sources

These issues need proper management for any of the relational, object-relational or big data management research paradigms; and aim at data modeling and successfully exploiting the time-dependent characteristics for these paradigms ranging from the temporal based models to query models.

The first generation of Intel's MID technology will be aimed at data, not voice communications, leaving the company out of the market for smartphones.

They'll show what happens when this technology is aimed at data sets that range from tropical storms (http://hint.fm/wind ) to social networks, from arguments on Wikipedia to expressions of carnal desire (http://fleshmap.com).

As reported by Quartz, while the fellowship was aimed at data scientists and urban designers, 10-year-old Eva also submitted an application, saying she believed the streets of Paris were sad and that she wanted to "build a robot that will make them happy again" – through street art.

Several research methods were used, ranging from case and literature studies aimed at data gathering, to comparative and graphical analysis, discussion, and finally, the synthesis and critical analysis in the concluding part.

They also announced the LC921 and LC922 servers aimed at data intensive applications.

One set of methods, and a quite important one for many practicing statisticians, is aimed at data reduction.

As AWS continues to hone its various tools to help customers manage myriad enterprise functions in the cloud, this latest one is aimed at data scientists and other interested parties looking to manage big data projects with Hadoop.

LTE aims at data rates up to 100 Mbps in down-link (DL) and 50 Mbps in up-link (UL) with a bandwidth (BW) of 20 MHz excluding carrier aggregation and spatial multiplexing [1].

Both instruments were explicitly designed to be generic assessment tools usable in a wide range of applications aiming at data comparability across conditions and interventions.

This work is aimed at data mining of the biological test results generated by the NIH MLP initiative by analyzing the target specificity properties of small molecules.