DENCAST: distributed density-based clustering for multi-target regression

DENCAST: distributed density-based clustering for multi-target regression

Abstract Recent developments in sensor networks and mobile computing led to a huge increase in data generated that need to be processed and analyzed efficiently. In this context, many distributed data mining algorithms have recently been proposed. Following this line of research, we propose the DENC...

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Bibliographic Details
Main Authors: Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Journal of Big Data
Subjects:
Distributed clustering
Multi-target regression
Apache Spark
Online Access:http://link.springer.com/article/10.1186/s40537-019-0207-2

Internet

http://link.springer.com/article/10.1186/s40537-019-0207-2

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