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» Efficient join processing over uncertain data
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EDBT
2010
ACM
135views Database» more  EDBT 2010»
15 years 1 months ago
Probabilistic ranking over relations
Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking quer...
Lijun Chang, Jeffrey Xu Yu, Lu Qin, Xuemin Lin
TKDE
2010
393views more  TKDE 2010»
14 years 4 months ago
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environ...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
PODS
2005
ACM
211views Database» more  PODS 2005»
15 years 9 months ago
Join-distinct aggregate estimation over update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...
CORR
2008
Springer
143views Education» more  CORR 2008»
14 years 9 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...
121
Voted
EDBT
2008
ACM
180views Database» more  EDBT 2008»
15 years 9 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002