Sciweavers

Share
35 search results - page 1 / 7
» Characterization of Hadoop Jobs Using Unsupervised Learning
Sort
View
CLOUDCOM
2010
Springer
10 years 25 days ago
Characterization of Hadoop Jobs Using Unsupervised Learning
Sonali Aggarwal, Shashank Phadke, Milind A. Bhanda...
PVLDB
2011
9 years 9 months ago
Column-Oriented Storage Techniques for MapReduce
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 ...
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shek...
IEEECIT
2010
IEEE
10 years 1 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
9 years 6 months ago
SystemML: Declarative machine learning on MapReduce
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...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
IDA
2005
Springer
10 years 8 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
books