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2018 | OriginalPaper | Chapter

Analysis of Thermocline Influencing Factors Based on Decision Tree Methods

Authors : Chengquan Hu, Yu Gou, Tong Zhang, Kai Wang, Lili He, Yu Jiang

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Natural phenomena disturb marine ordinary states mainly by disturb the sea surface temperature. As temperature is the main factor that affects thermocline, in this paper we propose a method to quantitative analyze the correlation between El Niño and thermocline based on decision tree methods rather than qualitative analysis. The experiments use the refined BOA_Argo data and the decision trees are constructed with these data. We aim at making better use of thermocline and trying not to be harmed by natural disasters such as El Niño.

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Literature
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Metadata
Title
Analysis of Thermocline Influencing Factors Based on Decision Tree Methods
Authors
Chengquan Hu
Yu Gou
Tong Zhang
Kai Wang
Lili He
Yu Jiang
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_54