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» Handling Large Workloads by Profiling and Clustering
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DAWAK
2003
Springer
13 years 10 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli
BMCBI
2007
166views more  BMCBI 2007»
13 years 5 months ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
RECSYS
2009
ACM
13 years 11 months ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
NETGAMES
2006
ACM
13 years 11 months ago
Peer clustering: a hybrid approach to distributed virtual environments
This paper proposes a hybrid architecture for distributed virtual environments, utilizing servers alongside peer-to-peer components. Current research into peer-based systems seeks...
Alvin Chen, Richard R. Muntz
BMCBI
2007
237views more  BMCBI 2007»
13 years 5 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico