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» Genetic algorithms for large join query optimization
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SEMWEB
2010
Springer
13 years 5 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
EDBT
2012
ACM
247views Database» more  EDBT 2012»
11 years 10 months ago
Heuristics-based query optimisation for SPARQL
Query optimization in RDF Stores is a challenging problem as SPARQL queries typically contain many more joins than equivalent relational plans, and hence lead to a large join orde...
Petros Tsialiamanis, Lefteris Sidirourgos, Irini F...
IJCNN
2007
IEEE
14 years 2 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
14 years 19 hour ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
SAC
2004
ACM
14 years 1 months ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl