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» A Method for Dynamic Clustering of Data
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IPPS
2006
IEEE
16 years 17 days ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
BMCBI
2005
161views more  BMCBI 2005»
15 years 6 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
ICCS
2004
Springer
15 years 12 months ago
Dynamic-Data-Driven Real-Time Computational Mechanics Environment
Abstract. The proliferation of sensor networks in various areas of technology has enabled real-time behavioral monitoring of various physical systems in various length and time sca...
John Michopoulos, Charbel Farhat, Elias N. Houstis
COMPUTING
2006
130views more  COMPUTING 2006»
15 years 6 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
ICS
2004
Tsinghua U.
15 years 12 months ago
A dynamic application-driven data communication strategy
The use of semi-Lagrangian formulations in numerical weather predication models (NWP) allows for an increase in time step size. Use of this method can increase performance of thes...
Paul van der Mark, Lex Wolters, Gerard Cats