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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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Related topics

Related topics

50 relations
Amazon Elastic Compute Cloud (EC2)Apache GoraApache HadoopApache Mahout

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Comparing columnar, row and array DBMSs to process recursive queries on graphs
2015
2015
Elements of the formal model big date
The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of… 
2014
2014
Use of Big Data technology in Vehicular Ad-hoc Networks
Big Data technology is becoming ubiquitous and depicting key attention of researchers in almost all areas. VANET is a special… 
2013
2013
Big data analysis using Apache Hadoop
The paradigm of processing huge datasets has been shifted from centralized architecture to distributed architecture. As the… 
2012
2012
Kriya - An end-to-end Hierarchical Phrase-based MT System
Kriya - An end-to-end Hierarchical Phrase-based MT System This paper describes Kriya - a new statistical machine translation (SMT… 
2012
2012
Parallelization with Multiplicative Algorithms for Big Data Mining
We propose a nontrivial strategy to parallelize a series of data mining and machine learning problems, including 1-class and 2… 
2012
2012
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing
Map/Reduce approach has been popular in order to compute huge volumes of data since Google implemented its platform on Google… 
Highly Cited
2010
Highly Cited
2010
YETI on the Cloud
The York Extensible Testing Infrastructure (YETI) is an automated random testing tool that allows to test programs written in… 
2009
2009
Applying Map-Reduce Paradigm for Parallel Closed Cube Computation
After many years of studies, efficient data cube computation remains an open field of research due to ever-growing amounts of… 
2009
2009
Mining Document Collections to Facilitate Accurate Approximate Entity Matching
Many entity extraction techniques leverage large reference entity tables to identify entities in documents. Often, an entity is… 
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