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PODS
2008
ACM
250views Database» more  PODS 2008»
14 years 6 months ago
Approximating predicates and expressive queries on probabilistic databases
We study complexity and approximation of queries in an expressive query language for probabilistic databases. The language studied supports the compositional use of confidence com...
Christoph Koch
CC
2008
Springer
131views System Software» more  CC 2008»
13 years 6 months ago
Exposure-Resilient Extractors and the Derandomization of Probabilistic Sublinear Time
There exists a positive constant < 1 such that for any function T(n) n and for any problem L BPTIME(T(n)), there exists a deterministic algorithm running in poly(T(n)) time w...
Marius Zimand
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 6 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
IAT
2009
IEEE
13 years 10 months ago
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
Patrick de Oude, Gregor Pavlin
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 6 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin