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» Managing large datasets with iRODS - a performance analyses
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GRID
2007
Springer
15 years 3 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
91
Voted
CIKM
2008
Springer
14 years 11 months ago
Predicting individual disease risk based on medical history
The monumental cost of health care, especially for chronic disease treatment, is quickly becoming unmanageable. This crisis has motivated the drive towards preventative medicine, ...
Darcy A. Davis, Nitesh V. Chawla, Nicholas Blumm, ...
68
Voted
CIKM
2008
Springer
14 years 11 months ago
Suppressing outliers in pairwise preference ranking
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
CIDR
2009
159views Algorithms» more  CIDR 2009»
14 years 10 months ago
RIOT: I/O-Efficient Numerical Computing without SQL
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...
Yi Zhang 0011, Herodotos Herodotou, Jun Yang 0001
BMCBI
2010
146views more  BMCBI 2010»
14 years 9 months ago
A pairwise residue contact area-based mean force potential for discrimination of native protein structure
Background: Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-base...
Shahriar Arab, Mehdi Sadeghi, Changiz Eslahchi, Ha...