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» Parallelizing query optimization
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SIGMOD
2001
ACM
120views Database» more  SIGMOD 2001»
14 years 10 months ago
Materialized View Selection and Maintenance Using Multi-Query Optimization
Materialized views have been found to be very effective at speeding up queries, and are increasingly being supported by commercial databases and data warehouse systems. However, w...
Hoshi Mistry, Prasan Roy, S. Sudarshan, Krithi Ram...
ICDE
2010
IEEE
250views Database» more  ICDE 2010»
14 years 7 months ago
Optimized Query Evaluation Using Cooperative Sorts
— Many applications require sorting a table over multiple sort orders: generation of multiple reports from a table, evaluation of a complex query that involves multiple instances...
Yu Cao, Ramadhana Bramandia, Chee-Yong Chan, Kian-...
VLDB
1998
ACM
86views Database» more  VLDB 1998»
14 years 2 months ago
Inferring Function Semantics to Optimize Queries
The goal of the COKO-KOLA project [10, 91 is to express rules of rule-basedoptimizers in a mannerpermitting verification with a theoremprover. In [IO], we consideredquerytransform...
Mitch Cherniack, Stanley B. Zdonik
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
14 years 4 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
IDEAS
2002
IEEE
135views Database» more  IDEAS 2002»
14 years 3 months ago
On Implicate Discovery and Query Optimization
Boolean expression simplification is a well-known problem in the history of Computer Science. The problem of determining prime implicates from an arbitrary Boolean expression has...
Kristofer Vorwerk, G. N. Paulley