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Produktbild: Data Analysis and Related Applications, Volume 1

Data Analysis and Related Applications, Volume 1 Computational, Algorithmic and Applied Economic Data Analysis

183,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.10.2022

Herausgeber

Konstantinos N. Zafeiris + weitere

Verlag

John Wiley & Sons

Seitenzahl

480

Maße (L/B/H)

24/16,1/3 cm

Gewicht

883 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-78630-771-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.10.2022

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

480

Maße (L/B/H)

24/16,1/3 cm

Gewicht

883 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-78630-771-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Data Analysis and Related Applications, Volume 1
  • Preface xvii
    Konstantinos N. ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H. SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA
     
    Part 1 1
     
    Chapter 1. Performance of Evaluation of Diagnosis of Various Thyroid Diseases Using Machine Learning Techniques 3
    Burcu Bektas GÜNE^, Evren BURSUK and Rüya ^AMLI
     
    1.1. Introduction 3
     
    1.2. Data understanding 5
     
    1.3. Modeling 6
     
    1.4. Findings 8
     
    1.5. Conclusion 10
     
    1.6. References 10
     
    Chapter 2. Exploring Chronic Diseases' Spatial Patterns: Thyroid Cancer in Sicilian Volcanic Areas 13
    Francesca BITONTI and Angelo MAZZA
     
    2.1. Introduction 14
     
    2.2. Epidemiological data and territory 16
     
    2.3. Methodology 18
     
    2.3.1. Spatial inhomogeneity and spatial dependence 18
     
    2.3.2. Standardized incidence ratio (SIR) 19
     
    2.3.3. Local Moran's I statistic 21
     
    2.4. Spatial distribution of TC in eastern Sicily 22
     
    2.4.1. SIR geographical variation 22
     
    2.4.2. Estimate of the spatial attraction 24
     
    2.5. Conclusion 25
     
    2.6. References 26
     
    Chapter 3. Analysis of Blockchain-based Databases in Web Applications 31
    Orhun Ceng BOZO and Rüya ^AMLI
     
    3.1. Introduction 31
     
    3.2. Background 32
     
    3.2.1. Blockchain 32
     
    3.2.2. Blockchain types 32
     
    3.2.3. Blockchain-based web applications 33
     
    3.2.4. Blockchain consensus algorithms 33
     
    3.2.5. Other consensus algorithms 34
     
    3.3. Analysis stack 34
     
    3.3.1. Art Shop web application 34
     
    3.3.2. SQL-based application 34
     
    3.3.3. NoSQL-based application 35
     
    3.3.4. Blockchain-based application 35
     
    3.4. Analysis 36
     
    3.4.1. Adding records 36
     
    3.4.2. Query 38
     
    3.4.3. Functionality 39
     
    3.4.4. Security 39
     
    3.5. Conclusion 41
     
    3.6. References 41
     
    Chapter 4. Optimization and Asymptotic Analysis of Insurance Models 43
    Ekaterina BULINSKAYA
     
    4.1. Introduction 43
     
    4.2. Discrete-time model with reinsurance and bank loans 44
     
    4.2.1. Model description 44
     
    4.2.2. Optimization problem 45
     
    4.2.3. Model stability 46
     
    4.3. Continuous-time insurance model with dividends 48
     
    4.3.1. Model description 48
     
    4.3.2. Optimal barrier strategy 49
     
    4.3.3. Special form of claim distribution 50
     
    4.3.4. Numerical analysis 54
     
    4.4. Conclusion and further research directions 55
     
    4.5. References 56
     
    Chapter 5. Statistical Analysis of Traffic Volume in the 25 de Abril Bridge 57
    Frederico CAEIRO, Ayana MATEUS and Conceicao VEIGA de ALMEIDA
     
    5.1. Introduction 57
     
    5.2. Data 58
     
    5.3. Methodology 60
     
    5.3.1. Main limit results 60
     
    5.3.2. Block maxima method 61
     
    5.3.3. Largest order statistics method 62
     
    5.3.4. Estimation of other tail parameters 63
     
    5.4. Results and conclusion 63
     
    5.5. Acknowledgements 65
     
    5.6. References 65
     
    Chapter 6. Predicting the Risk of Gestational Diabetes Mellitus through Nearest Neighbor Classification 67
    Louisa TESTA, Mark A. CARUANA, Maria KONTORINAKI and Charles SAVONA-VENTURA
     
    6.1. Introduction 67
     
    6.2. Nearest neighbor methods 69
     
    6.2.1. Background of the NN methods 69
     
    6.2.2. The k-nearest neighbors method 70
     
    6.2.3. The fixed-radius NN method 70
     
    6.2.4. The kernel-NN method 71
     
    6.2.5. Algorithms of the three considered NN methods 72
     
    6.2.6. Parameter and distance metric selection 74
     
    6.3. Experimental re