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» Parallelizing query optimization
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SSD
2007
Springer
243views Database» more  SSD 2007»
16 years 29 days ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
170
Voted
VLDB
2001
ACM
82views Database» more  VLDB 2001»
15 years 11 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
174
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PPSN
2004
Springer
16 years 6 days ago
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
Krzysztof Wloch, Peter J. Bentley
201
Voted
ICDCS
2011
IEEE
14 years 6 months ago
The Routing Continuum from Shortest-Path to All-Path: A Unifying Theory
—Routing is a critical operation in networks. In the context of data and sensor networks, routing strategies such as shortest-path, multi-path and potential-based (“all-path”...
Yanhua Li, Zhi-Li Zhang, Daniel Boley
171
Voted
IEEEPACT
2005
IEEE
16 years 14 days ago
An Event-Driven Multithreaded Dynamic Optimization Framework
Dynamic optimization has the potential to adapt the program’s behavior at run-time to deliver performance improvements over static optimization. Dynamic optimization systems usu...
Weifeng Zhang, Brad Calder, Dean M. Tullsen