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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 6 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
EUROSYS
2010
ACM
16 years 3 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
EVOW
2010
Springer
16 years 1 months ago
Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes
Overlapping genes (encoded on the same DNA strand but in different frames) are thought to be rare and, therefore, were largely neglected in the past. In a test set of 800 viruses ...
Klaus Neuhaus, Daniela Oelke, David Fürst, Si...
AINA
2009
IEEE
16 years 1 months ago
Medium Access Control in Large Scale Clusters for Wireless Sensor Networks
—One of the main advantages of clustering algorithms is the ability to allow networks to be physically divided into smaller regions, thereby increasing the theoretical maximum nu...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
IPPS
2009
IEEE
16 years 1 months ago
Application profiling on Cell-based clusters
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...