A data mining approach to evaluate suitability of dissolved oxygen sensor observations for lake metabolism analysis-Reference-Cited by-同舟云学术

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A data mining approach to evaluate suitability of dissolved oxygen sensor observations for lake metabolism analysis

Published:2018-10-04 Issue:11 Volume:16 Page:787-801
ISSN:1541-5856
Container-title:Limnology and Oceanography: Methods
language:en
Short-container-title:Limnol. Oceanogr. Methods

Author:

Muraoka Kohji¹^ORCID,Hanson Paul²^ORCID,Frank Eibe³^ORCID,Jiang Meilan⁴,Chiu Kenneth⁵,Hamilton David⁶^ORCID

Affiliation:

1. Environmental Research Institute; University of Waikato; Hamilton New Zealand

2. Center for Limnology; University of Wisconsin-Madison; Madison Wisconsin

3. Department of Computer Science; University of Waikato; Hamilton New Zealand

4. Center for EcoInformatics; Konkuk University; Seoul Republic of Korea

5. Computer Science Department; Binghamton University; Binghamton New York

6. Australian Rivers Institute; Griffith University; Brisbane Queensland Australia

Funder

Ministry of Business, Innovation and Employment

Publisher

Wiley

Subject

Ocean Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/lom3.10283/fullpdf

Reference56 articles.

1. Aggarwal , C. C. A. Hinneburg D. A. Keim 2001 On the surprising behavior of distance metrics in high dimensional space 420 434 In Database Theory - ICDT 2001 10.1007/3-540-44503-X_27

2. The importance of transport processes and spatial gradients on in situ estimates of lake metabolism;Antenucci;Hydrobiologia,2013

3. Free-water lake metabolism: Addressing noisy time series with a Kalman filter;Batt;Limnol. Oceanogr.: Methods,2012

4. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognit.,1997

5. Intermittent oxygen flux from the interior into the bottom boundary of lakes as observed by eddy correlation;Brand;Limnol. Oceanogr.,2008

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2. Adoption of human metabolic processes as Data Quality Based Models;The Journal of Supercomputing;2020-05-26

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