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» Computing Iceberg Queries Efficiently
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PVLDB
2008
126views more  PVLDB 2008»
14 years 9 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
WWW
2008
ACM
15 years 10 months ago
Efficient multi-keyword search over p2p web
Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and use...
Hanhua Chen, Hai Jin, Jiliang Wang, Lei Chen 0002,...
PVLDB
2008
157views more  PVLDB 2008»
14 years 8 months ago
SEDA: a system for search, exploration, discovery, and analysis of XML Data
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information emb...
Andrey Balmin, Latha S. Colby, Emiran Curtmola, Qu...
BTW
2005
Springer
113views Database» more  BTW 2005»
15 years 3 months ago
A Learning Optimizer for a Federated Database Management System
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
Stephan Ewen, Michael Ortega-Binderberger, Volker ...
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
15 years 10 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...