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ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
13 years 11 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh
ICANN
2011
Springer
12 years 8 months ago
Bias of Importance Measures for Multi-valued Attributes and Solutions
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
Houtao Deng, George C. Runger, Eugene Tuv
WWW
2011
ACM
12 years 11 months ago
Estimating sizes of social networks via biased sampling
Online social networks have become very popular in recent years and their number of users is already measured in many hundreds of millions. For various commercial and sociological...
Liran Katzir, Edo Liberty, Oren Somekh
BMCBI
2007
99views more  BMCBI 2007»
13 years 4 months ago
Stratification bias in low signal microarray studies
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
Brian J. Parker, Simon Günter, Justin Bedo
BMCBI
2007
147views more  BMCBI 2007»
13 years 4 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...