“Big Data” is a shorthand term for ways of analyzing and solving problems relating to vast amounts of data—something that will have a profound impact on many fields of science. Big data advances are opening up new ways of developing knowledge from information.
The graphic above shows an example of big data: It depicts the social network of a sample of Twitter users from “Finding Your Friends and Following Them to Where You Are,” a paper by postdoctoral fellow Adam Sadilek, Department of Computer Science Chair Henry Kautz, and Associate Professor of Computer Science Jeffrey Bigham.
From Oct. 4 to 6, Rochester will bring together researchers in big data analytics and applications, leaders of federal research agencies, and representatives of high technology companies at the Big Data Forum 2012. Among the topics that will be addressed are machine learning, data mining and the semantic web.
Rochester faculty, staff, and students have access to discounted registration for $50.
Although the deadline for registration was Sept. 14, the organizers will try to accommodate late registrations. However, spots are limited so prompt registration is recommended.