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EDBT
2011
ACM
205views Database» more  EDBT 2011»
12 years 11 months ago
A probabilistic XML merging tool
This demonstration paper presents a probabilistic XML data merging tool, that represents the outcome of semi-structured document integration as a probabilistic tree. The system is...
Talel Abdessalem, M. Lamine Ba, Pierre Senellart
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 7 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...
PVLDB
2010
97views more  PVLDB 2010»
13 years 6 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
VLDB
2005
ACM
124views Database» more  VLDB 2005»
14 years 1 months ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
14 years 9 months ago
Top-k Query Processing in Uncertain Databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...