Uncovering hidden structures in massive data collections

Computer scientists at Princeton Univ. have developed a method that offers a solution to massive data overload. Using a mathematical method that calculates the likelihood of a pattern repeating throughout a subset of data, the researchers have been able to cut dramatically the time needed to find patterns in large collections of information such as social networks. R&D Daily 10/29/2013 I think someone at U. Waterloo is doing something like this too.