Doing this requires applying techniques of advanced visualization, data mining, machine learning, social network theory and much more. Dr. Linlin Chen’s research focuses in biostatistics and big data ...

This article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics. Becoming familiar with them will go a long way toward enabling you to recognize ...

The volume of data in the world is increasing exponentially. In 2020, 64.2 zettabytes of data were created, that is a 314 percent increase from 2015. An increased demand for information due to the ...

The scope of activities at the Center for Business Analytics can succinctly be captured by the acronym DATA, a useful way to immediately sense the importance of the Center's activities in the "Big ...

Students will be introduced to advanced analytic solutions aimed at addressing issues related to big data including volume ... platforms as well as text analytics techniques for unstructured or ...