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» Effectively Indexing the Uncertain Space
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DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 4 days ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 10 days 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...
PVLDB
2010
151views more  PVLDB 2010»
13 years 3 months ago
A Generic Framework for Handling Uncertain Data with Local Correlations
Data uncertainty is ubiquitous in many real-world applications such as sensor/RFID data analysis. In this paper, we investigate uncertain data that exhibit local correlations, tha...
Xiang Lian, Lei Chen 0002
EDBT
2009
ACM
115views Database» more  EDBT 2009»
14 years 3 days ago
Top-k dominating queries in uncertain databases
Due to the existence of uncertain data in a wide spectrum of real applications, uncertain query processing has become increasingly important, which dramatically differs from handl...
Xiang Lian, Lei Chen 0002
VLDB
2008
ACM
178views Database» more  VLDB 2008»
14 years 5 months ago
The Bdual-Tree: indexing moving objects by space filling curves in the dual space
Abstract Existing spatiotemporal indexes suffer from either large update cost or poor query performance, except for the Bx -tree (the state-of-the-art), which consists of multiple ...
Man Lung Yiu, Yufei Tao, Nikos Mamoulis