Forget the needle, consider the haystack: Uncovering hidden structures in massive data collections | Bits 'n Pieces on Big Data R&D |

Princeton University computer scientists have developed a method to leverage big data using a mathematical method to determine the probability of a pattern repeating itself throughout a data subset. The researchers say their method significantly reduces the time required to uncover patterns in large data collections such as social networks, enabling researchers to pinpoint links between seemingly unrelated groups.