Entropy Measures for Data Analysis: Theory, Algorithms and Applications

• Main Author: Keller, Karsten (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: History of engineering & technology; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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 an...