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» Large Object Support in POSTGRES
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PODS
2005
ACM
86views Database» more  PODS 2005»
15 years 12 months ago
Multi-structural databases
We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
15 years 6 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
GPCE
2005
Springer
15 years 5 months ago
Optimizing Marshalling by Run-Time Program Generation
Saving the internal data of an application in an external form is called marshalling. A generic marshaller is difficult to optimize because the format of the data that will be mars...
Baris Aktemur, Joel Jones, Samuel N. Kamin, Lars C...
ER
2006
Springer
112views Database» more  ER 2006»
15 years 3 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder
BNCOD
2004
184views Database» more  BNCOD 2004»
15 years 1 months ago
Bulk Loading the M-Tree to Enhance Query Performance
The M-tree is a paged, dynamically balanced metric access method that responds gracefully to the insertion of new objects. Like many spatial access methods, the M-tree's perfo...
Alan P. Sexton, Richard Swinbank