Titlebook: Scientific and Statistical Database Management; 22nd International C Michael Gertz,Bertram Ludäscher Conference proceedings 2010 Springer-V

吸气

Deriving Spatio-temporal Query Results in Sensor Networksand those that could possibly do so, but where those inaccuracies are in the way of a definite answer. We study both spatio-temporal predicates as well as spatio-temporal developments, i.e., sequences of predicates describing complex movement patterns of objects.

CRACY

On the Efficient Construction of Multislices from RecurrencesWe propose a scalable algorithm, termed ., for the construction of multislices from recurrences. Experiments with real-world recurrences from public transport schedules confirm the scalability and usefulness of .: the generated multislices are very close to minimal multislices, achieving an average

巧办法

Omnipotent

Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Clusterce and scalability using a real dataset comprised of 906 million points, and show that in an 8-node cluster, our algorithm can process even a highly skewed dataset 17 times faster than the conventional implementation and offers near-linear scalability. Our approach matches the performance of an exis

Debark

cornucopia

Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontologyhe search for top-. object pairs when the earth mover’s distance is used. For the minimum pairwise distance, we devise an algorithm that runs in .(. + .. log.) time, where . is the total information size and . is the number of terms in the ontology. We also develop a best-first search strategy for t

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名字

分期付款

Shen-Shyang Ho,Wenqing Tang,W. Timothy Liu,Markus Schneider

Heterodoxy

Keith Grochow,Bill Howe,Mark Stoermer,Roger Barga,Ed Lazowska