A new algorithm for finding Minimal Sample Uniques for use in Statistical Disclosure Assessment Anna M. Manning and David Haglin   View Paper (PDF)   Return to Session 15: Statistical Methods I Abstract We present SUDA2, a recursive algorithm for finding Minimal Sample Uniques (MSUs). SUDA2 uses a novel method for representing the search space forMSUs and new observations about the properties ofMSUs to prune and traverse this space. Experimental comparisons with previous work demonstrate that SUDA2 is not only several orders of magnitude faster but is also capable of identifying the boundaries of the search space, enabling datasets of larger numbers of columns than before to be addressed. ©2006 Association for Computing Machinery