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» A Calculus for Data Mapping
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ICDE
2011
IEEE
265views Database» more  ICDE 2011»
14 years 8 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...
SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
14 years 7 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald
IPSN
2010
Springer
15 years 9 months ago
Ear-phone: an end-to-end participatory urban noise mapping system
A noise map facilitates monitoring of environmental noise pollution in urban areas. It can raise citizen awareness of noise pollution levels, and aid in the development of mitigat...
Rajib Kumar Rana, Chun Tung Chou, Salil S. Kanhere...
ICCV
2007
IEEE
15 years 8 months ago
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI)...
Demian Wassermann, Maxime Descoteaux, Rachid Deric...
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 8 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....