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» Processing theta-joins using MapReduce
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CLOUDCOM
2010
Springer
13 years 5 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
MSR
2009
ACM
14 years 8 days ago
MapReduce as a general framework to support research in Mining Software Repositories (MSR)
Researchers continue to demonstrate the benefits of Mining Software Repositories (MSR) for supporting software development and research activities. However, as the mining process...
Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E....
AND
2010
13 years 5 months ago
Statement map: reducing web information credibility noise through opinion classification
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
SCP
2008
150views more  SCP 2008»
13 years 7 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
12 years 11 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...