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» Efficient Top-k Query Evaluation on Probabilistic Data
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PVLDB
2008
174views more  PVLDB 2008»
14 years 9 months ago
Relaxation in text search using taxonomies
In this paper we propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a ...
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Chr...
157
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ICDE
2008
IEEE
135views Database» more  ICDE 2008»
15 years 10 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
EDBT
2009
ACM
145views Database» more  EDBT 2009»
15 years 1 months ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
SIGMOD
2010
ACM
149views Database» more  SIGMOD 2010»
14 years 4 months ago
On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Daniel Deutch, Tova Milo
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
15 years 11 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...