Solving big data’s ‘fusion’ problem
UCLA, Purdue computer scientists develop technique for combining massive sets of research data
As the field of “big data” has emerged as a tool for solving all sorts of scientific and societal questions, one of the main challenges that remains is whether, and how, multiple sets of data from various sources could be combined to determine cause-and-effect relationships in new and untested situations. Now, computer scientists from UCLA and Purdue University have devised a theoretical solution to that problem. (more…)