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» MOA: Massive Online Analysis
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BMCBI
2004
134views more  BMCBI 2004»
13 years 7 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
ISCA
2012
IEEE
302views Hardware» more  ISCA 2012»
11 years 9 months ago
Scale-out processors
The emergence of global-scale online services has galvanized scale-out software, characterized by splitting vast datasets and massive computation across many independent servers. ...
Pejman Lotfi-Kamran, Boris Grot, Michael Ferdman, ...
WWW
2011
ACM
13 years 2 months ago
Truthy: mapping the spread of astroturf in microblog streams
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have ...
Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bru...
FTTCS
2006
132views more  FTTCS 2006»
13 years 7 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
INFOCOM
2006
IEEE
14 years 1 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...