Sentence examples for big data sets and from inspiring English sources

At Web 2.0, the discussion focused on the future of artificial intelligence, managing and analyzing big data sets and smart technologies.

Prior availability of recommendations from the knowledge base could potentially optimize the accessibility and usability issues related to big data sets and minimize the overall application costs.

Their South Korean counterparts are modeling how drugs reach target organs, developing new approaches to analyzing big data sets, and delving into the complex geometry of computer animation.

The proposed solution offers an information integration pipeline for ingesting data from smart meters, a scalable platform for processing and mining big data sets, and a web portal for visualizing analytics results.

Conversely, there are many notions of quality, to be applied to specific types of big data, that should be carefully considered when dealing with big data sets and analytics over them.

Providing users with a sense of how accurate the app's predictions are for their particular cycle is also on the roadmap, says Tin. "These are some of the things we can now start exploring now because now we really have a big data set, and we can also start doing our own clinical research in it," she says.

Multivariate statistical analysis (MSA) identifies the largest variations in a big data set and changes the coordinate system in the hyperspace using these major components as new axes.

This is a moment for incredible automation, because of the confluence of affordable and large-scale parallel computation, the increased availability of bigger data sets, and advanced deep-learning algorithms.

"We were aware of these super-big data sets, and we brought them together and analyzed them in a new way to get the climate signal," Büntgen says.

The algorithms detailed in this paper are more memory and resource efficient making them suitable for use with bigger data sets and more easily trained SVMs.

Mapping MapReduce frameworks to Cloud Architecture became a must in last years because of the need of managing large data sets and Big Data in fast, reliable (and as cheap as possible) way.