Results 11 to 20 of about 42,531 (299)
Rough IPFCM Clustering Algorithm and Its Application on Smart Phones with Euclidean Distance
New interval clustering technology for symbolic data analysis (SDA) on smart phones is shown to be beneficial for mobile computing devices for smart data analysis in this paper.
Chih-Ming Chen +3 more
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Methodological Choices in Tourism: A Review of the Application of Symbolic Interactionism in Tourism and Hospitality Studies [PDF]
This article reviews the use of symbolic interactionism (SI) in tourism research. It uses papers published in top 11 ranked tourism and hospitality journals over a twenty-year period, 2000 to 2020. The objective of this paper is to establish the level of
Jaloni Pansiri
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Financial markets give a large number of trading opportunities. However, over-complicated systems make it very difficult to be effectively used by decision-makers.
Jan Kozak +2 more
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Entropy quantification algorithms are becoming a prominent tool for the physiological monitoring of individuals through the effective measurement of irregularity in biological signals.
Evangelos Kafantaris +3 more
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Cluster Analysis – Symbolic vs. Classical Data
Clustering problem is addressed in many contexts and disciplines. Although there are numerous studies on cluster analysis, there is a lack of a review to complete and systematize knowledge of research approach depending on data form. The paper presents a concept of clustering, classifications of cluster analysis methods, comparison of numerical and ...
Wilk, Justyna, Pełka, Marcin
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Novejši pristopi v analizi podatkov o smrtnosti
In the application of statistical methods and models, as well as other data analysis methods, we encounter a number of limitations that make it necessary to find new approaches.
Simona Korenjak-Černe +1 more
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An adaptation of COBWEB for symbolic data case
The paper proposes an extension for well-known COBWEB algorithm for different symbolic variable types. This extension allows to apply symbolic variables for category utility evaluation.
Marcin Pełka
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Interstatis: el método statis para datos de tipo intervalo
El método STATIS, propuesto por L’Hermier des Plantes y Escoufier, se utiliza para analizar múltiples tablas de datos en las cuales es muy fre- cuente que cada una de la tablas tenga información referente al mismo conjunto de individuos.
David Corrales, Oldemar Rodríguez
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The center method, which was first proposed in Rev. Stat. Appl. 1997 by Cazes et al. and Stat. Anal. Data Mining 2011 by Douzal-Chouakria et al., extends the well-known Principal Component Analysis (PCA) method to particular types of symbolic objects ...
Jorge Arce Garro +1 more
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Symbolic Entropy Analysis and Its Applications
This editorial explains the scope of the special issue and provides a thematic introduction to the contributed papers.
Raúl Alcaraz
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