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» Query Estimation by Adaptive Sampling
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UAI
2000
13 years 6 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
14 years 5 months ago
Exploiting self-monitoring sample views for cardinality estimation
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
Jingren Zhou, Per-Åke Larson, Peter Zabback,...
VLDB
2002
ACM
161views Database» more  VLDB 2002»
13 years 4 months ago
Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over many s...
Panagiotis G. Ipeirotis, Luis Gravano
TKDE
2008
169views more  TKDE 2008»
13 years 4 months ago
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
Michael Cammert, Jürgen Krämer, Bernhard...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 6 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...