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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
A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems
Transient stability assessment is playing a vital role in modern power systems. For this purpose, machine learning techniques… 
2017
2017
Comparing columnar, row and array DBMSs to process recursive queries on graphs
Highly Cited
2016
Highly Cited
2016
An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication
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
Horton: Online Query Execution Engine for Large Distributed Graphs
Graphs are used in many large-scale applications, such as social networking. The management of these graphs poses new challenges… 
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
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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