Parallel K-Means Algorithm based on Hadoop-MapReduce for Mining: DE - Softcover

Lopes Veloso, Lays Helena; Senger, Luciano José

 
9786209114083: Parallel K-Means Algorithm based on Hadoop-MapReduce for Mining: DE
Softcover
ISBN 10: 6209114083 ISBN 13: 9786209114083
Verlag: Our Knowledge Publishing, 2025

Inhaltsangabe

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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Über die Autorin bzw. den Autor

She is currently a doctoral student in Computer Science at the Pontifical Catholic University of Paraná (PUCPR). She obtained a master's degree in Applied Computing from the State University of Ponta Grossa in 2015. She has a bachelor's degree in Systems Analysis and Development from the Federal Technological University of Paraná (2012).

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Verlag
Our Knowledge Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6209114083
ISBN 13 
9786209114083
Einband
Taschenbuch
Anzahl der Seiten
56
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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