35 search results - page 1 / 7 » Characterization of Hadoop Jobs Using Unsupervised Learning |
CLOUDCOM
2010
Springer
13 years 8 months ago
2010
Springer
PVLDB
2011
13 years 5 months ago
2011
Users of MapReduce often run into performance problems when they scale up their workloads. Many of the problems they encounter can be overcome by applying techniques learned from ...
IEEECIT
2010
IEEE
13 years 9 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
ICDE
2011
IEEE
13 years 2 months ago
2011
IEEE
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
IDA
2005
Springer
14 years 4 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...