kNN-IS: an iterative spark-based design of the k-nearest neighbors classifier for big data

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kNN-IS: an iterative spark-based design of the k-nearest neighbors classifier for big data

The k-Nearest Neighbors classifier is a simple yet effective widely renowned method in data mining. The actual application of this model in the big data domain is not feasible due to time and memory restrictions. Several distributed alternatives based on MapReduce have been proposed to enable this m...

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Bibliographic Details
Main Authors:	Maillo, Jesus, Ramirez, Sergio, Triguero, Isaac, Herrera, Francisco
Format:	Article
Published:	Elsevier 2016
Subjects:	K-nearest neighbors; Big data; Apache Hadoop; Apache Spark; MapReduce
Online Access:	https://eprints.nottingham.ac.uk/34013/

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