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» Co-Scheduling of Computation and Data on Computer Clusters
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BMCBI
2005
161views more  BMCBI 2005»
15 years 1 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
PDPTA
2003
15 years 2 months ago
Distop: A Low-Overhead Cluster Monitoring System
Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-base...
Daniel Andresen, Nathan Schopf, Ethan Bowker, Timo...
BMCBI
2007
133views more  BMCBI 2007»
15 years 1 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
CLUSTER
2002
IEEE
15 years 6 months ago
User-Level Remote Data Access in Overlay Metacomputers
A practical problem faced by users of metacomputers and computational grids is: If my computation can move from one system to another, how can I ensure that my data will still be ...
Jeff Siegel, Paul Lu