We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
We present an effective optimization framework for general SQLlike map-reduce queries, which is based on a novel query algebra and uses a small number of higher-order physical ope...
Background: This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results: We introduce BioWarehouse, an open source toolkit for construc...
Thomas J. Lee, Yannick Pouliot, Valerie Wagner, Pr...
Managing inconsistency in databases has long been recognized as an important problem. One of the most promising approaches to coping with inconsistency in databases is the framewo...
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...