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» Ranking queries on uncertain data: a probabilistic threshold...
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ICDE
2008
IEEE
563views Database» more  ICDE 2008»
15 years 7 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 10 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 9 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes