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» Multidimensional Data Modeling for Complex Data
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WSC
1998
15 years 8 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
16 years 7 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
BMCBI
2006
130views more  BMCBI 2006»
15 years 6 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
CLADE
2003
IEEE
15 years 12 months ago
vGrid: A Framework For Building Autonomic Applications
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Bithika Khargharia, Salim Hariri, Manish Parashar,...
WSC
2008
15 years 9 months ago
A flexible and scalable experimentation layer
Modeling and simulation frameworks for use in different application domains, throughout the complete development process, and in different hardware environments need to be highly ...
Jan Himmelspach, Roland Ewald, Adelinde M. Uhrmach...