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» Probabilistic Skylines on Uncertain Data
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SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
15 years 5 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
15 years 11 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
15 years 11 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...
PODS
2008
ACM
159views Database» more  PODS 2008»
15 years 11 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
TKDE
2010
274views more  TKDE 2010»
14 years 10 months ago
Ranked Query Processing 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, the ...
Xiang Lian, Lei Chen 0002