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» Genetic algorithms for large join query optimization
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ICDE
2006
IEEE
178views Database» more  ICDE 2006»
14 years 9 months ago
Declarative Querying for Biological Sequences
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
13 years 11 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa
PVLDB
2010
175views more  PVLDB 2010»
13 years 6 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
DKE
2006
123views more  DKE 2006»
13 years 7 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
WWW
2006
ACM
14 years 8 months ago
A pruning-based approach for supporting Top-K join queries
An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...
Jie Liu, Liang Feng, Yunpeng Xing