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» Algorithms for Index-Assisted Selectivity Estimation
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ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
15 years 6 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
104
Voted
BMCBI
2008
129views more  BMCBI 2008»
15 years 17 days ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
CSDA
2007
152views more  CSDA 2007»
15 years 8 days ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
119
Voted
SAC
2002
ACM
15 years 3 days ago
Choice of wavelet smoothness, primary resolution and threshold in wavelet shrinkage
This article introduces a fast cross-validation algorithm that performs wavelet shrinkage on data sets of arbitrary size and irregular design and also simultaneously selects good ...
Guy P. Nason
SIGMOD
2004
ACM
142views Database» more  SIGMOD 2004»
16 years 18 days ago
Conditional Selectivity for Statistics on Query Expressions
Cardinality estimation during query optimization relies on simplifying assumptions that usually do not hold in practice. To diminish the impact of inaccurate estimates during opti...
Nicolas Bruno, Surajit Chaudhuri