Big Data: Actionable Information

With support from the National Science Foundation and major technology companies such as IBM and Hewlett Packard, Professor Elke Rundensteiner leads a research group focused on very large database and information systems in support of advanced applications in business, engineering, and the sciences. Much of her current work focuses on Big Data and the development of tools to extract actionable information out of complex data sets. In the area of health care, for example, she and her team are working with the Food and Drug Administration to develop machine learning algorithms that can pore over reports on incidents involving drugs and medical devices. Because of inconsistencies in how the reports are filled out, they are difficult to analyze, meaning possible health threats may go unnoticed. Rundensteiner's tools learn to locate and rank the relevant information, which can help important—and, possibly, life-saving—patterns rise to the surface.

Видео Big Data: Actionable Information канала WPI