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» Efficient Query Evaluation on Probabilistic Databases
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ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 6 days ago
On the semantics and evaluation of top-k queries in probabilistic databases
We formulate three intuitive semantic properties for topk queries in probabilistic databases, and propose GlobalTopk query semantics which satisfies all of them. We provide a dyn...
Xi Zhang, Jan Chomicki
VLDB
2004
ACM
98views Database» more  VLDB 2004»
13 years 11 months ago
Top-k Query Evaluation with Probabilistic Guarantees
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
Martin Theobald, Gerhard Weikum, Ralf Schenkel
BTW
2007
Springer
292views Database» more  BTW 2007»
13 years 9 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
PVLDB
2008
122views more  PVLDB 2008»
13 years 5 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
14 years 7 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande