Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

As big data takes a larger role in healthcare analytics, healthcare organizations may come to rely on algorithms, but some experts are questioning whether the algorithms should be overseen. A new ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

The history of the social sciences has included a succession of advances in the ability to make observations and carefully test hypotheses. The compilation of massive data sets, for example, and the ...

Imagine classrooms outfitted with cameras that run constantly, capturing each child’s every facial expression, fidget, and social interaction, every day, all year long. Then imagine on the ceilings of ...

Chief Business Officer at Cognyte, head of Cognyte’s product, global R&D, business units, and go-to-market strategy. Our world has become increasingly digital. The pandemic that drove the world ...

Big data refers to the massive volume of information that cannot be easily processed or analyzed using traditional methods, such as using standard databases and software. Big data comes from many ...