Entropy Measures for Data Analysis: Theory, Algorithms and Applications

Keller, Karsten

MDPI - Multidisciplinary Digital Publishing Institute, 2019

Online E-Book - 260

Zugriff:

View record at Directory of Open Access Books (Volltext)

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.

Titel:	Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Autor/in / Beteiligte Person:	Keller, Karsten
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	MDPI - Multidisciplinary Digital Publishing Institute, 2019
Medientyp:	E-Book
Umfang:	260
ISBN:	978-3-03928-032-2 (print) ; 978-3-03928-033-9 (print)
DOI:	10.3390/books978-3-03928-033-9
Schlagwort:	fault diagnosis empirical mode decomposition auditory attention Dempster-Shafer evidence theory simulation uncertainty of basic probability assignment center of pressure displacement particle size distribution multivariate analysis symbolic analysis permutation entropy short time records co-evolution plausibility transformation experiment of design cross-entropy method weighted Hartley entropy firefly algorithm embedded dimension entropy measure effective transfer entropy treadmill walking ordinal patterns complex fuzzy set entropy visualization belief entropy signal classification machine learning evaluation novelty detection selfsimilar measure Permutation entropy automatic learning cross wavelet transform cross-visibility graphs Kolmogorov-Sinai entropy distance Shannon-type relations Tsallis entropy market crash support vector machine (SVM) conditional entropy of ordinal patterns sample entropy learning electroencephalography (EEG) meta-heuristic entropy data transformation information entropy signal analysis synchronization analysis similarity indices data analysis geodesic distance auditory attention classifier entropy measures distance induced vague entropy analog circuit vague entropy complex vague soft set entropy balance equation parametric t-distributed stochastic neighbor embedding global optimization learning systems image entropy algorithmic complexity support vector machine system coupling relevance analysis Chinese stock sectors Shannon entropy linear discriminant analysis (LDA) information information transfer dual-tasking non-probabilistic entropy thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology TA1-2040 T1-995 TA170-171
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: application/octet-stream Language: English Rights: Attribution-NonCommercial-NoDerivatives 4.0 International ; URL: https://creativecommons.org/licenses/by-nc-nd/4.0/ Notes: 43245

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

BibTeX Citavi, JabRef, u.a.
(Literaturverwaltung)

PDF kein Volltext!
(Merkzettel, Notizen)

RIS Endnote, Citavi u.a.
(Literaturverwaltung)

MODS
(XML zur Weiterverarbeitung)

oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

Gewünschter Zitations-Stil:

oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.