Parallel K-Means Algorithm based on Hadoop-MapReduce for Mining - Tapa blanda

Lopes Veloso, Lays Helena; Senger, Luciano José

 
9786209114083: Parallel K-Means Algorithm based on Hadoop-MapReduce for Mining
Tapa blanda
ISBN 10: 6209114083 ISBN 13: 9786209114083
Editorial: Our Knowledge Publishing, 2025

Sinopsis

This work aimed to investigate the use of a parallel K-Means clustering algorithm, based on the MapReduce programming model, to improve the response time of data mining. The algorithm's performance was evaluated in terms of SpeedUp and ScaleUp. To this end, experiments were performed on a Hadoop cluster consisting of six computers with standard hardware. The clustered data are measurements from flow towers in agricultural regions and belong to Ameriflux. The experiments were performed using 3, 4, and 6 machines, respectively. The results showed that with the increase in the number of machines, there was a gain in performance, with the best time obtained using six machines, reaching a SpeedUp of 3.25. It was found that the application scales well with the equivalent increase in data size and number of machines in the cluster, achieving similar performance in the tests.

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Editorial
Our Knowledge Publishing
Año de publicación
2025
Idioma
Inglés
ISBN 10 
6209114083
ISBN 13 
9786209114083
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
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