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» Optimizing joins in a map-reduce environment
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SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
12 years 7 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald
CORR
2010
Springer
205views Education» more  CORR 2010»
13 years 4 months ago
Behavioral Simulations in MapReduce
In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on s...
Guozhang Wang, Marcos Antonio Vaz Salles, Benjamin...
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
11 years 7 months ago
Fuzzy Joins Using MapReduce
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
12 years 8 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
ICDE
2009
IEEE
198views Database» more  ICDE 2009»
14 years 6 months ago
Double Index NEsted-Loop Reactive Join for Result Rate Optimization
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network enviro...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...