19 search results - page 1 / 4 » Density Biased Sampling: An Improved Method for Data Mining ... |
SIGMOD
2000
ACM
13 years 11 months ago
2000
ACM
DKE
2006
13 years 7 months ago
2006
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
ICDM
2003
IEEE
14 years 21 days ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
ICDM
2003
IEEE
14 years 21 days ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
BMCBI
2011
13 years 2 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...