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» Standard Deviation as a Query Hardness Estimator
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SPIRE
2010
Springer
13 years 9 months ago
Standard Deviation as a Query Hardness Estimator
In this paper a new Query Performance Prediction method is introduced. This method is based on the hypothesis that different score distributions appear for ‘hard’ and ‘easyâ...
Joaquín Pérez-Iglesias, Lourdes Arau...
EDBT
2009
ACM
131views Database» more  EDBT 2009»
14 years 2 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
PODS
2005
ACM
151views Database» more  PODS 2005»
14 years 11 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 5 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens
CIKM
2008
Springer
14 years 27 days ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...