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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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Amazon Elastic Compute Cloud (EC2)Apache GoraApache HadoopApache Mahout

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing
In the twenty-first century, scientists and engineers are tackling the world's toughest computational problems with parallel… 
2016
2016
Graph vs. bag representation models for the topic classification of web documents
Text classification constitutes a popular task in Web research with various applications that range from spam filtering to… 
2013
2013
MHS2: A Map-Reduce Heuristic-Driven Minimal Hitting Set Search Algorithm
Computing minimal hitting sets also known as set covers for a collection of sets is an important problem in many domains e.g… 
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… 
2012
2012
Complexity Measures for Map-Reduce, and Comparison to Parallel Computing
The programming paradigm Map-Reduce and its main open-source implementation, Hadoop, have had an enormous impact on large scale… 
2012
2012
Experiences with using Data Cleaning Technology for Bing Services
Over the past few years, our Data Management, Exploration and Mining (DMX) group at Microsoft Research has worked closely with… 
2012
2012
Parallelization of genetic algorithms using Hadoop Map/Reduce
In this paper we present parallel implementation of genetic algorithm using map/reduce programming paradigm. Hadoop… 
Review
2012
Review
2012
A review on cloud computing security issues & challanges
The new developments in the field of information technology offered the people enjoyment, comforts and convenience. Cloud… 
2011
2011
Distributed Duplicate Detection in Post-Process Data De-duplication
Data De-duplication is essentially a data compression technique for elimination of coarse-grained redundant data. A typical… 
2011
2011
Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach
Cloud computing technologies have made it possible to analyze big data sets in scalable and cost-effective ways. DNA sequence…