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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
HPDC
2010
IEEE
15 years 7 months ago
ROARS: a scalable repository for data intensive scientific computing
As scientific research becomes more data intensive, there is an increasing need for scalable, reliable, and high performance storage systems. Such data repositories must provide b...
Hoang Bui, Peter Bui, Patrick J. Flynn, Douglas Th...
WSC
2007
15 years 8 months ago
A simulation framework for energy efficient data grids
High performance data grids are increasingly becoming popular platforms to support data-intensive applications. Reducing high energy consumption caused by data grids is a challeng...
Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bel...
BMCBI
2004
150views more  BMCBI 2004»
15 years 6 months ago
SS-Wrapper: a package of wrapper applications for similarity searches on Linux clusters
Background: Large-scale sequence comparison is a powerful tool for biological inference in modern molecular biology. Comparing new sequences to those in annotated databases is a u...
Chunlin Wang, Elliot J. Lefkowitz
CF
2007
ACM
15 years 10 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...