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» Evaluating Probabilistic Queries over Imprecise Data
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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
16 years 1 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
CORR
2011
Springer
175views Education» more  CORR 2011»
14 years 6 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...
EDBT
2006
ACM
136views Database» more  EDBT 2006»
15 years 12 months ago
Optimizing Monitoring Queries over Distributed Data
Scientific data in the life sciences is distributed over various independent multi-format databases and is constantly expanding. We discuss a scenario where a life science research...
Frank Neven, Dieter Van de Craen
PVLDB
2010
97views more  PVLDB 2010»
14 years 10 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 9 months ago
Ontology-based Queries over Cancer Data
The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi...
Alejandra González Beltrán, Ben Tagg...