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» Applying Grid Technologies to Distributed Data Mining
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SC
2009
ACM
14 years 2 months ago
Highly scalable genome assembly on campus grids
Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...
IDA
2009
Springer
14 years 18 days ago
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
Searching for interesting patterns in binary matrices plays an important role in data mining and, in particular, in formal concept analysis and related disciplines. Several algorit...
Petr Krajca, Vilém Vychodil
SC
2004
ACM
14 years 1 months ago
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Virtual machines provide flexible, powerful execution environments for Grid computing, offering isolation and security mechanisms complementary to operating systems, customization...
Ivan Krsul, Arijit Ganguly, Jian Zhang, José...
IJHPCA
2007
88views more  IJHPCA 2007»
13 years 8 months ago
Scaling Properties of Common Statistical Operators for Gridded Datasets
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
Charles S. Zender, Harry Mangalam
IPPS
2002
IEEE
14 years 28 days ago
Predicting the Performance of Wide Area Data Transfers
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...