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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 9 months ago
Genetic algorithms for large join query optimization
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...
Hongbin Dong, Yiwen Liang
SIGMOD
2004
ACM
105views Database» more  SIGMOD 2004»
16 years 3 months ago
The Priority R-Tree: A Practically Efficient and Worst-Case Optimal R-Tree
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d + T/B) I/Os, where N is the number of ddimensio...
Lars Arge, Mark de Berg, Herman J. Haverkort, Ke Y...
144
Voted
DEBU
2008
125views more  DEBU 2008»
15 years 3 months ago
Querying XML in Timber
In this paper, we describe the TIMBER XML database system implemented at University of Michigan. TIMBER was one of the first native XML database systems, designed from the ground ...
Yuqing Wu, Stelios Paparizos, H. V. Jagadish
146
Voted
APWEB
2010
Springer
15 years 7 months ago
Optimizing Query Processing for the Hidden Web
Abstract. The term Deep Web (sometimes also called Hidden Web) refers to the data content that is created dynamically as the result of a specific search on the Web. In this respec...
Andrea Calì, Davide Martinenghi
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
16 years 4 months ago
SAO: A Stream Index for Answering Linear Optimization Queries
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
Gang Luo, Kun-Lung Wu, Philip S. Yu