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The climatic factors affecting dengue fever outbreaks in southern Taiwan: an application of symbolic data analysis [PDF]
BioMedical Engineering OnLine, 2018 Background Dengue fever is a leading cause of severe illness and hospitalization in Taiwan. This study sought to elucidate the linkage between dengue fever incidence and climate factors. Results The result indicated that temperature, accumulated rainfall,
Yi-Horng Lai
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Proximity measures in symbolic data analysis
Statistica, 2007 The Authors consider the general problem of similarity and dissimilarity measures in Symbolic Data Analysis. First of all they examine the classical definitions of elementary event, assertion object, hierarchical dependences and logical dependences. Then
Luciano Nieddu, Alfredo Rizzi
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THE MEASUREMENT OF THE ECONOMIC DISTANCE ON THE BASIS OF SYMBOLIC DATA [PDF]
Acta Universitatis Lodziensis. Folia Oeconomica, 2014 The economic distance defines a dissimilarity level between objects functioning in the economic space. It is one of the most important issues of spatial econometrics.
Justyna Wilk
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Rough IPFCM Clustering Algorithm and Its Application on Smart Phones with Euclidean Distance
Applied Sciences, 2022 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]
African Journal of Hospitality, Tourism and Leisure, 2023 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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Entropy, 2020 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, 2020 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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Quantifying Information Leaks Using Reliability Analysis [PDF]
, 2014 acmid: 2632367 keywords: Model Counting, Quantitative Information Flow, Reliability Analysis, Symbolic Execution location: San Jose, CA, USA numpages: 4acmid: 2632367 keywords: Model Counting, Quantitative Information Flow, Reliability Analysis, Symbolic
d Amorim, M +4 more
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Rethinking Pointer Reasoning in Symbolic Execution [PDF]
, 2017 Symbolic execution is a popular program analysis technique that allows seeking for bugs by reasoning over multiple alternative execution states at once. As the number of states to explore may grow exponentially, a symbolic executor may quickly run out of
Coppa, Emilio +2 more
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Novejši pristopi v analizi podatkov o smrtnosti
Economic and Business Review, 2019 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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