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» Efficient join processing over uncertain data
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ICDE
2009
IEEE
198views Database» more  ICDE 2009»
15 years 11 months ago
Double Index NEsted-Loop Reactive Join for Result Rate Optimization
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network enviro...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
15 years 9 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...
88
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PVLDB
2008
138views more  PVLDB 2008»
14 years 9 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
INFFUS
2008
175views more  INFFUS 2008»
14 years 9 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
DAWAK
2007
Springer
15 years 3 months ago
Computing Join Aggregates over Private Tables
We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information ov...
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu