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MapReduce
Known as:
Hadoop map
, Map/reduce
, Map Reduce
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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 Gora
Apache Hadoop
Apache Mahout
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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
Yang Liu
,
You-bo Liu
,
+4 authors
Kunyu Zuo
2017
Corpus ID: 53993381
Transient stability assessment is playing a vital role in modern power systems. For this purpose, machine learning techniques…
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Highly Cited
2016
Highly Cited
2016
An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication
Awais Ahmad
,
Anand Paul
,
M. M. Rathore
Neurocomputing
2016
Corpus ID: 7429790
2016
2016
Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing
A. Kaminsky
2016
Corpus ID: 65197873
In the twenty-first century, scientists and engineers are tackling the world's toughest computational problems with parallel…
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2013
2013
Big data analysis using Apache Hadoop
Jyoti Nandimath
,
Ekata Banerjee
,
Ankur Patil
,
Pratima Kakade
,
S. Vaidya
IEEE International Conference on Information…
2013
Corpus ID: 14888045
The paradigm of processing huge datasets has been shifted from centralized architecture to distributed architecture. As the…
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2012
2012
Horton: Online Query Execution Engine for Large Distributed Graphs
Mohamed Sarwat
,
S. Elnikety
,
Yuxiong He
,
G. Kliot
IEEE International Conference on Data Engineering
2012
Corpus ID: 2221927
Graphs are used in many large-scale applications, such as social networking. The management of these graphs poses new challenges…
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2012
2012
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns
Zhenhuan Gong
,
Terry Rogers
,
+6 authors
N. Samatova
International Conference on Parallel Processing
2012
Corpus ID: 17517456
The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their…
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2012
2012
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing
Jongwook Woo
,
Yuhang Xu
2012
Corpus ID: 15925029
Map/Reduce approach has been popular in order to compute huge volumes of data since Google implemented its platform on Google…
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2011
2011
Iris recognition on Hadoop: A biometrics system implementation on cloud computing
Shelly
,
N. S. Raghava
IEEE International Conference on Cloud Computing…
2011
Corpus ID: 7316190
Cloud computing is one of the highly researched areas today, with an objective of taking advantage of various computational…
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Highly Cited
2010
Highly Cited
2010
YETI on the Cloud
M. Oriol
,
Faheem Ullah
Third International Conference on Software…
2010
Corpus ID: 17080036
The York Extensible Testing Infrastructure (YETI) is an automated random testing tool that allows to test programs written in…
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2009
2009
Mining Document Collections to Facilitate Accurate Approximate Entity Matching
S. Chaudhuri
,
Venkatesh Ganti
,
Dong Xin
Proceedings of the VLDB Endowment
2009
Corpus ID: 1879673
Many entity extraction techniques leverage large reference entity tables to identify entities in documents. Often, an entity is…
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