Data analysis and related applications. 1, Computational, algorithmic and applied economic data analysis

Data analysis and related applications. 1, Computational, algorithmic and applied economic data analysis /

Saved in:
Bibliographic Details
Corporate Author: ProQuest (Firm)
Other Authors: Zafeiris, Konstantinos N. (Editor), Skiadas, Christos H. (Editor), Dimotikalis, Yannis (Editor), Karagrigoriou, Alex (Editor), Karagrigoriou-Vonta, Christiana (Editor)
Format: Electronic eBook
Language:English
Published: London : Hoboken, NJ : ISTE Ltd ; John Wiley & Sons, Inc., 2022.
Series:Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; v. 9.
Subjects:
Quantitative research.
Online Access:Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)
Table of Contents:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Part 1
  • 1. Performance of Evaluation of Diagnosis of Various Thyroid Diseases Using Machine Learning Techniques
  • 1.1. Introduction
  • 1.2. Data understanding
  • 1.3. Modeling
  • 1.4. Findings
  • 1.5. Conclusion
  • 1.6. References
  • 2. Exploring Chronic Diseases' Spatial Patterns: Thyroid Cancer in Sicilian Volcanic Areas
  • 2.1. Introduction
  • 2.2. Epidemiological data and territory
  • 2.3. Methodology
  • 2.3.1. Spatial inhomogeneity and spatial dependence
  • 2.3.2. Standardized incidence ratio (SIR)
  • 2.3.3. Local Moran's I statistic
  • 2.4. Spatial distribution of TC in eastern Sicily
  • 2.4.1. SIR geographical variation
  • 2.4.2. Estimate of the spatial attraction
  • 2.5. Conclusion
  • 2.6. References
  • 3. Analysis of Blockchain-based Databases in Web Applications
  • 3.1. Introduction
  • 3.2. Background
  • 3.2.1. Blockchain
  • 3.2.2. Blockchain types
  • 3.2.3. Blockchain-based web applications
  • 3.2.4. Blockchain consensus algorithms
  • 3.2.5. Other consensus algorithms
  • 3.3. Analysis stack
  • 3.3.1. Art Shop web application
  • 3.3.2. SQL-based application
  • 3.3.3. NoSQL-based application
  • 3.3.4. Blockchain-based application
  • 3.4. Analysis
  • 3.4.1. Adding records
  • 3.4.2. Query
  • 3.4.3. Functionality
  • 3.4.4. Security
  • 3.5. Conclusion
  • 3.6. References
  • 4. Optimization and Asymptotic Analysis of Insurance Models
  • 4.1. Introduction
  • 4.2. Discrete-time model with reinsurance and bank loans
  • 4.2.1. Model description
  • 4.2.2. Optimization problem
  • 4.2.3. Model stability
  • 4.3. Continuous-time insurance model with dividends
  • 4.3.1. Model description
  • 4.3.2. Optimal barrier strategy
  • 4.3.3. Special form of claim distribution
  • 4.3.4. Numerical analysis
  • 4.4. Conclusion and further research directions
  • 4.5. References
  • 5. Statistical Analysis of TrafficVolume in the 25 de Abril Bridge
  • 5.1. Introduction
  • 5.2. Data
  • 5.3. Methodology
  • 5.3.1. Main limit results
  • 5.3.2. Block maxima method
  • 5.3.3. Largest order statistics method
  • 5.3.4. Estimation of other tail parameters
  • 5.4. Results and conclusion
  • 5.5. Acknowledgements
  • 5.6. References
  • 6. Predicting the Risk of Gestational Diabetes Mellitus through Nearest Neighbor Classification
  • 6.1. Introduction
  • 6.2. Nearest neighbor methods
  • 6.2.1. Background of the NN methods
  • 6.2.2. The k-nearest neighbors method
  • 6.2.3. The fixed-radius NN method
  • 6.2.4. The kernel-NN method
  • 6.2.5. Algorithms of the three considered NN methods
  • 6.2.6. Parameter and distance metric selection
  • 6.3. Experimental results
  • 6.3.1. Dataset description
  • 6.3.2. Variable selection and data splitting
  • 6.3.3. Results
  • 6.3.4. A discussion and comparison of results
  • 6.4. Conclusion
  • 6.5. References
  • 7. Political Trust in National Institutions: The Significance of Items' Level of Measurement in the Validation of Constructs

Similar Items