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» New Algorithms for Statistical Analysis of Interval Data
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BMCBI
2008
129views more  BMCBI 2008»
15 years 4 months 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
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
16 years 4 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
15 years 6 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
BMCBI
2008
148views more  BMCBI 2008»
15 years 4 months ago
Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements
Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
Eva Lange, Ralf Tautenhahn, Steffen Neumann, Cleme...
ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
15 years 9 months ago
A Comparative Study of RNN for Outlier Detection in Data Mining
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...