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CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 10 months ago
Accelerating Large-scale Data Exploration through Data Diffusion
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
DIS
2006
Springer
14 years 1 months ago
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
Ata Kabán, Jianyong Sun, Somak Raychaudhury...
BMCBI
2007
154views more  BMCBI 2007»
13 years 10 months ago
h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
Yvonne E. Pittelkow, Susan R. Wilson
SIGMOD
2002
ACM
102views Database» more  SIGMOD 2002»
14 years 10 months ago
XmdvTool: visual interactive data exploration and trend discovery of high-dimensional data sets
Elke A. Rundensteiner, Matthew O. Ward, Jing Yang,...
IJCNN
2006
IEEE
14 years 4 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...