Many important applications exhibit large amounts of data parallelism, and modern computer systems are designed to take advantage of it. While much of the computation in the multi...
: With the increase in the amount and complexity of information, data warehouse performance has become a constant issue, especially for decision support systems. As decisional expe...
Vlad Nicolicin-Georgescu, Vincent Benatier, R&eacu...
We describe the implementation of an enterprise monitoring system that builds on an ontology-based information extraction (OBIE) component applied to heterogeneous data sources. T...
Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...