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» Massive Data Pre-Processing with a Cluster Based Approach
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CCGRID
2010
IEEE
14 years 11 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 11 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
DATESO
2004
165views Database» more  DATESO 2004»
15 years 3 months ago
Multi-dimensional Sparse Matrix Storage
Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...
Jiri Dvorský, Michal Krátký
BMCBI
2011
14 years 9 months ago
A Computational Framework for Proteome-Wide Pursuit and Prediction of Metalloproteins using ICP-MS and MS/MS Data
Background: Metal-containing proteins comprise a diverse and sizable category within the proteomes of organisms, ranging from proteins that use metals to catalyze reactions to pro...
W. Andrew Lancaster, Jeremy L. Praissman, Farris L...
OSDI
2008
ACM
16 years 2 months ago
Error Log Processing for Accurate Failure Prediction
Error logs are a fruitful source of information both for diagnosis as well as for proactive fault handling ? however elaborate data preparation is necessary to filter out valuable...
Felix Salfner, Steffen Tschirpke