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CLOUDCOM
2010
Springer
14 years 7 months ago
Applying Twister to Scientific Applications
Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister MapReduce Framework, whi...
Bingjing Zhang, Yang Ruan, Tak-Lon Wu, Judy Qiu, A...
JDCTA
2010
464views more  JDCTA 2010»
14 years 4 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
CLOUDCOM
2010
Springer
14 years 7 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 9 months ago
Parallel Sorted Neighborhood Blocking with MapReduce
: Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solution...
Lars Kolb, Andreas Thor, Erhard Rahm
CEC
2007
IEEE
15 years 1 months ago
Parallel PSO using MapReduce
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
Andrew W. McNabb, Christopher K. Monson, Kevin D. ...