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128
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ESWS
2008
Springer
15 years 5 months ago
2008
Springer
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
225
Voted
ICDE
2007
IEEE
16 years 5 months ago
2007
IEEE
The All Nearest Neighbor (ANN) operation is a commonly used primitive for analyzing large multi-dimensional datasets. Since computing ANN is very expensive, in previous works R*-t...
224
Voted
VLDB
2007
ACM
16 years 4 months ago
2007
ACM
Many applications need to solve the following problem of approximate string matching: from a collection of strings, how to find those similar to a given string, or the strings in ...
126
Voted
SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
146
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SEMWEB
2009
Springer
15 years 10 months ago
2009
Springer
An important issue for the Semantic Web is how to combine open-world ontology languages with closed-world (non-monotonic) rule paradigms. Several proposals for hybrid languages all...