Representing and Querying Correlated Tuples in Probabilistic Databases

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Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples (2016, methodology): “[34] computed the dependence relationship among tuples using an appropriately constructed probabilistic graphical model.”
A Survey of Uncertain Data Algorithms and Applications (2009, unknown): “In [73], a technique has been proposed”
MCDB: a monte carlo approach to managing uncertain data (2008, background): “Monte Carlo has several important benefits compared to the exact-computation approach that underlies virtually all existing proposals [1, 2, 4, 6, 7, 8, 10, 11, 33].”
Probabilistic frequent itemset mining in uncertain databases (2009, background): “In the general model description [13], the possible worlds are constrained by rules that are defined on the tuples in order to incorporate object (tuple) correlations.”
Top-k Query Processing in Uncertain Databases (2007, methodology): “, [20, 21], to capture different tuples’ correlations.”
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (2011, background): “In fact, Tuffy is able to answer queries on a version of the RC dataset that is over two orders of magnitude larger.”
Management of probabilistic data: foundations and challenges (2007, methodology): “Graphical models are also used in some probabilistic databases [39, 72].”