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MapReduce

Known as: Hadoop map, Map/reduce, Map Reduce 
MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Transient stability assessment is playing a vital role in modern power systems. For this purpose, machine learning techniques… 
2016
2016
In the twenty-first century, scientists and engineers are tackling the world's toughest computational problems with parallel… 
2013
2013
The paradigm of processing huge datasets has been shifted from centralized architecture to distributed architecture. As the… 
2012
2012
Graphs are used in many large-scale applications, such as social networking. The management of these graphs poses new challenges… 
2012
2012
The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their… 
2012
2012
Map/Reduce approach has been popular in order to compute huge volumes of data since Google implemented its platform on Google… 
2011
2011
Cloud computing is one of the highly researched areas today, with an objective of taking advantage of various computational… 
Highly Cited
2010
Highly Cited
2010
The York Extensible Testing Infrastructure (YETI) is an automated random testing tool that allows to test programs written in… 
2009
2009
Many entity extraction techniques leverage large reference entity tables to identify entities in documents. Often, an entity is…