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Distributed feature selection with big sensor data


D'Este, C and Sharman, C and Rahman, A, Distributed feature selection with big sensor data, Proceedings, 2 December 2014, Gold Coast, Australia, pp. 56-61. ISBN 978-1-4503-3159-3 (2015) [Refereed Conference Paper]

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Copyright Statement

Copyright 2014 ACM

DOI: doi:10.1145/2689746.2689752


Sensor data reuse provides the means to extend situation awareness while reducing costs for small organisations. Tools for machine learning with big data currently focus on web analysis. We explore what extensions are needed to effectively analyse big sensor data through performing distributed feature selection on a large sensor data repository.

Item Details

Item Type:Refereed Conference Paper
Keywords:feature selection, sensor data analysis, distributed computing, big data
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Knowledge representation and reasoning
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:D'Este, C (Dr Claire D'Este)
ID Code:117343
Year Published:2015 (online first 2014)
Deposited By:Information and Communication Technology
Deposited On:2017-06-08
Last Modified:2017-07-18

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