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» Classes and clusters in data analysis
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PVLDB
2008
182views more  PVLDB 2008»
15 years 6 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ASPLOS
2009
ACM
15 years 10 months ago
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications
As our society becomes more information-driven, we have begun to amass data at an astounding and accelerating rate. At the same time, power concerns have made it difficult to brin...
Adrian M. Caulfield, Laura M. Grupp, Steven Swanso...
SOCO
2008
Springer
15 years 6 months ago
Compositional Modeling for Data-Centric Business Applications
Data-centric business applications comprise an important class of distributed systems that includes on-line stores, document management systems, and patient portals. However, their...
Ethan K. Jackson, Wolfram Schulte
BMCBI
2007
116views more  BMCBI 2007»
15 years 6 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...
IEEEVAST
2010
15 years 1 months ago
Flow-based scatterplots for sensitivity analysis
Visualization of multi-dimensional data is challenging due to the number of complex correlations that may be present in the data but that are difficult to be visually identified. ...
Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma