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Data mining methods of healthy indoor climate coefficients for comfortable well-being Cover

Data mining methods of healthy indoor climate coefficients for comfortable well-being

Environmental Protection and Natural Resources
Volume 29 (2018): Issue 3 (September 2018)
By: ,   and    
Open Access
|Sep 2018
Authors

Authors

Grit Behrens

Grit.behrens@fh-bielefeld.de

FSP IFE - University of Applied Sciences Bielefeld, Bielefeld, Germany

Klaus Schlender

Klaus.schlender@fh-bielefeld.de

FSP IFE - University of Applied Sciences Bielefeld, Bielefeld, Germany

Florian Fehring

Florian.fehring@fh-bielefeld.de

FSP IFE - University of Applied Sciences Bielefeld, Bielefeld, Germany
DOI: https://doi.org/10.2478/oszn-2018-0013 | Journal eISSN: 2353-8589 | Journal ISSN: 1230-7831
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Language: English
Page range: 7 - 12
Published on: Sep 1, 2018
Published by: National Research Institute, Institute of Environmental Protection
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Big data,
Web-based application,
indoor air quality,
machine learning,
artificial intelligence,
neural network,
ventilation behaviour
Related subjects:
Life sciences,
Ecology

© 2018 Grit Behrens, Klaus Schlender, Florian Fehring, published by National Research Institute, Institute of Environmental Protection
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 29 (2018): Issue 3 (September 2018)
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