Scientific data of importance to biologists in the Humitn Genome Project resides not only in conventional da.tabases, but in structured files maintained in a number of different f...
Peter Buneman, Susan B. Davidson, Kyle Hart, G. Ch...
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
: Simplifying data programming is a core mission of data management research. The issue at stake is to help engineers build efficient and robust data-centric applications. The fron...
Abstract. In this work we propose an alternative approach to inference in DLLite, based on a reduction to reasoning in an extension of function-free Horn Logic (EHL). We develop a ...
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...