MRPR: a MapReduce solution for prototype reduction in big data classification

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MRPR: a MapReduce solution for prototype reduction in big data classification

In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets is not straightforward. Hence, a new class of scalable mining method that embraces the huge storage and pr...

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Bibliographic Details
Main Authors:	Triguero, Isaac, Peralta, Daniel, Bacardit, Jaume, García, Salvador, Herrera, Francisco
Format:	Article
Published:	Elsevier 2015
Subjects:	Big data Mahout Hadoop Prototype reduction Prototype generation Nearest neighbor classification
Online Access:	https://eprints.nottingham.ac.uk/45415/

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