26 search results - page 1 / 6 » Clustering-based approaches to SAGE data mining |
BIODATAMINING
2008
13 years 5 months ago
2008
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
BPM
2009
Springer
14 years 11 days ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
ICDM
2003
IEEE
13 years 11 months 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...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...