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CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 6 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
188
Voted
JCIT
2008
165views more  JCIT 2008»
15 years 6 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
BMCBI
2011
15 years 1 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...
KDD
2009
ACM
161views Data Mining» more  KDD 2009»
16 years 1 months ago
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...
Gennady L. Andrienko, Natalia V. Andrienko
BMCBI
2007
126views more  BMCBI 2007»
15 years 6 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...