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HPDC
2006
IEEE
14 years 1 months ago
Adaptive I/O Scheduling for Distributed Multi-applications Environments
The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. Th...
Adrien Lebre, Yves Denneulin, Guillaume Huard, Prz...
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 12 days ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli
IJCAI
1989
13 years 9 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
DGO
2009
151views Education» more  DGO 2009»
13 years 8 months ago
Making ecology research results useful for resource management: a case study in visual analytics
This paper addresses challenges to resource managers' use of scientific research, and reports strategies and informatics tools to ameliorate those challenges. Our work involv...
Natalie Kopytko, Judith Bayard Cushing, Lee Zeman,...
ENVSOFT
2006
84views more  ENVSOFT 2006»
13 years 7 months ago
Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER
GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) is a model system for predicting chemical fate and exposure in surface waters. The GREAT-ER a...
F. Koormann, J. Rominger, D. Schowanek, J.-O. Wagn...