Entropy Measures for Data Analysis: Theory, Algorithms and Applications (Record no. 81660)

MARC details
000 -LEADER
fixed length control field 04578naaaa2201153uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/46559
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220103540.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-03928-033-9
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039280322
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039280339
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03928-033-9
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
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Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Keller, Karsten
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245 10 - TITLE STATEMENT
Title Entropy Measures for Data Analysis: Theory, Algorithms and Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (260 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
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Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by-nc-nd/4.0/
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Language note English
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Uncontrolled term fault diagnosis
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Uncontrolled term empirical mode decomposition
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Uncontrolled term permutation entropy
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Uncontrolled term cross-entropy method
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Uncontrolled term Permutation entropy
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Uncontrolled term similarity indices
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Uncontrolled term geodesic distance
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Uncontrolled term auditory attention classifier
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Uncontrolled term entropy measures
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Uncontrolled term distance induced vague entropy
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Uncontrolled term Shannon entropy
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Uncontrolled term non-probabilistic entropy
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/1906">https://mdpi.com/books/pdfview/book/1906</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/46559">https://directory.doabooks.org/handle/20.500.12854/46559</a>
Access status 0
Public note DOAB: description of the publication

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