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Data analysis and related applications . Volume 1 : computational, algorithmic and applied economic data analysis / / Konstantinos N Zafeiris [and four others], editors
Data analysis and related applications . Volume 1 : computational, algorithmic and applied economic data analysis / / Konstantinos N Zafeiris [and four others], editors
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley and Sons Inc., , [2022]
Descrizione fisica 1 online resource (478 pages)
Disciplina 001.42
Collana Big Data, Artificial Intelligence and Data Analysis Set
Soggetto topico Mathematical statistics
Electronic data processing
Quantitative research
ISBN 1-394-16551-X
1-394-16549-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- 7.1. Introduction -- 7.2. Methods -- 7.2.1. Participants -- 7.2.2. Instrument -- 7.2.3. Statistical analyses -- 7.3. Results -- 7.3.1. EFA results -- 7.3.2. CFA results -- 7.3.3. Scale construction and assessment -- 7.4. Conclusion -- 7.5. Funding -- 7.6. References -- 8. The State of the Art in Flexible Regression Models for Univariate Bounded Responses -- 8.1. Introduction -- 8.2. Regression model for bounded responses -- 8.2.1. Augmentation -- 8.2.2. Main distributions on the bounded support -- 8.2.3. Inference and -- 8.3. Case studies -- 8.3.1. Stress data -- 8.3.2. Reading data -- 8.4. References -- 9. Simulation Studies for a Special Mixture Regression Model with Multivariate Responses on the Simplex -- 9.1. Introduction -- 9.2. Dirichlet and EFD distributions.
9.3. Dirichlet and EFD regression models -- 9.3.1. Inference and -- 9.4. Simulation studies -- 9.4.1. Comments -- 9.5. References -- Part 2 -- 10. Numerical Studies of Implied Volatility Expansions Under the Gatheral Model -- 10.1. Introduction -- 10.2. Asymptotic expansions of implied volatility -- 10.3. Performance of the asymptotic expansions -- 10.4. Calibration using the asymptotic expansions -- 10.4.1. A partial calibration procedure -- 10.4.2. Calibration to synthetic and market data -- 10.5. Conclusion and future work -- 10.6. References -- 11. Performance Persistence of Polish Mutual Funds: Mobility Measures -- 11.1. Introduction -- 11.2. Literature review -- 11.3. Dataset and empirical design -- 11.4. Empirical results -- 11.5. Monthly perspective -- 11.6. Quarterly perspective -- 11.7. Yearly perspective -- 11.8. Conclusion -- 11.9. References -- 12. Invariant Description for a Batch Version of the UCB Strategy with Unknown Control Horizon -- 12.1. Introduction -- 12.2. UCB strategy -- 12.3. Batch version of the strategy -- 12.4. Invariant description with a unit control horizon -- 12.5. Simulation results -- 12.6. Conclusion -- 12.7. Affiliations -- 12.8. References -- 13. A New Non-monotonic Link Function for Beta Regressions -- 13.1. Introduction -- 13.2. Model -- 13.3. Estimation -- 13.4. Comparison -- 13.5. Conclusion -- 13.6. References -- 14. A Method of Big Data Collection and Normalization for Electronic Engineering Applications -- 14.1. Introduction -- 14.2. Machine learning (ML) in electronic engineering -- 14.2.1. Data acquisition -- 14.2.2. Accessing the data repositories -- 14.2.3. Data storage and management -- 14.3. Electronic engineering applications - data science -- 14.4. Conclusion and future work -- 14.5. References.
15. Stochastic Runge-Kutta Solvers Based on Markov Jump Processes and Applications to Non-autonomous Systems of Differential Equations -- 15.1. Introduction -- 15.2. Description of the method -- 15.2.1. The direct simulation method -- 15.2.2. Picard iterations -- 15.2.3. Runge-Kutta steps -- 15.3. Numerical examples -- 15.3.1. The Lorenz system -- 15.3.2. A combustion model -- 15.4. Conclusion -- 15.5. References -- 16. Interpreting a Topological Measure of Complexity for Decision Boundaries -- 16.1. Introduction -- 16.2. Persistent homology -- 16.3. Methodology -- 16.3.1. Neural networks and binary classification -- 16.3.2. Persistent homology of a decision boundary -- 16.3.3. Procedure -- 16.4. Experiments and results -- 16.4.1. Three-dimensional binary classification -- 16.4.2. Data divided by a hyperplane -- 16.5. Conclusion and discussion -- 16.6. References -- 17. The Minimum Renyi's Pseudodistance Estimators for Generalized Linear Models -- 17.1. Introduction -- 17.2. The minimum RP estimators for the GLM model: asymptotic distribution -- 17.3. Example: Poisson regression model -- 17.3.1. Real data application -- 17.4. Conclusion -- 17.5. Acknowledgments -- 17.6. Appendix -- 17.6.1. Proof of Theorem 1 -- 17.7. References -- 18. Data Analysis based on Entropies and Measures of Divergence -- 18.1. Introduction -- 18.2. Divergence measures -- 18.3. Tests of fit based on Φ−divergence measures -- 18.4. Simulations -- 18.5. References -- Part 3 -- 19. Geographically Weighted Regression for Official Land Prices and their Temporal Variation in Tokyo -- 19.1. Introduction -- 19.2. Models and methodology -- 19.3. Data analysis -- 19.3.1. Data -- 19.3.2. Results -- 19.4. Conclusion -- 19.5. Acknowledgments -- 19.6. References -- 20. Software Cost Estimation Using Machine Learning Algorithms -- 20.1. Introduction -- 20.2. Methodology -- 20.2.1. Dataset.
20.2.2. Model -- 20.2.3. Evaluating the performance of the model -- 20.3. Results and discussion -- 20.4. Conclusion -- 20.5. References -- 21. Monte Carlo Accuracy Evaluation of Laser Cutting Machine -- 21.1. Introduction -- 21.2. Mathematical model of a pintograph -- 21.3. Monte Carlo simulator -- 21.4. Simulation results -- 21.5. Conclusion -- 21.6. Acknowledgments -- 21.7. References -- 22. Using Parameters of Piecewise Approximation by Exponents for Epidemiological Time Series Data Analysis -- 22.1. Introduction -- 22.2. Deriving equations for moving exponent parameters -- 22.3. Validation of derived equations by using synthetic data -- 22.4. Using derived equations to analyze real-life Covid-19 data -- 22.5. Conclusion -- 22.6. References -- 23. The Correlation Between Oxygen Consumption and Excretion of Carbon Dioxide in the Human Respiratory Cycle -- 23.1. Introduction -- 23.2. Respiratory function physiology: ventilation-perfusion ratio -- 23.3. The basic principle of operation of artificial lung ventilation devices: patient monitoring parameters -- 23.4. The algorithm for monitoring the carbon emissions and oxygen consumption -- 23.5. Results -- 23.6. Conclusion -- 23.7. References -- Part 4 -- 24. Approximate Bayesian Inference Using the Mean-Field Distribution -- 24.1. Introduction -- 24.2. Inference problem in a symmetric population system -- 24.2.1. Example of a symmetric system describing plant competition -- 24.2.2. Inference problem of the Schneider system, in a more general setting -- 24.3. Properties of the mean-field distribution -- 24.4. Mean-field approximated inference -- 24.4.1. Case of systems admitting a mean-field limit -- 24.5. Conclusion -- 24.6. References -- 25. Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space -- 25.1. Introduction and outline.
25.2. Cubature formulae on Wiener space.
Record Nr. UNINA-9910643817003321
Hoboken, NJ : , : John Wiley and Sons Inc., , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and related applications . Volume 1 : computational, algorithmic and applied economic data analysis / / Konstantinos N Zafeiris [and four others], editors
Data analysis and related applications . Volume 1 : computational, algorithmic and applied economic data analysis / / Konstantinos N Zafeiris [and four others], editors
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley and Sons Inc., , [2022]
Descrizione fisica 1 online resource (478 pages)
Disciplina 001.42
Collana Big Data, Artificial Intelligence and Data Analysis Set
Soggetto topico Quantitative research
ISBN 1-394-16551-X
1-394-16549-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- 7.1. Introduction -- 7.2. Methods -- 7.2.1. Participants -- 7.2.2. Instrument -- 7.2.3. Statistical analyses -- 7.3. Results -- 7.3.1. EFA results -- 7.3.2. CFA results -- 7.3.3. Scale construction and assessment -- 7.4. Conclusion -- 7.5. Funding -- 7.6. References -- 8. The State of the Art in Flexible Regression Models for Univariate Bounded Responses -- 8.1. Introduction -- 8.2. Regression model for bounded responses -- 8.2.1. Augmentation -- 8.2.2. Main distributions on the bounded support -- 8.2.3. Inference and -- 8.3. Case studies -- 8.3.1. Stress data -- 8.3.2. Reading data -- 8.4. References -- 9. Simulation Studies for a Special Mixture Regression Model with Multivariate Responses on the Simplex -- 9.1. Introduction -- 9.2. Dirichlet and EFD distributions.
9.3. Dirichlet and EFD regression models -- 9.3.1. Inference and -- 9.4. Simulation studies -- 9.4.1. Comments -- 9.5. References -- Part 2 -- 10. Numerical Studies of Implied Volatility Expansions Under the Gatheral Model -- 10.1. Introduction -- 10.2. Asymptotic expansions of implied volatility -- 10.3. Performance of the asymptotic expansions -- 10.4. Calibration using the asymptotic expansions -- 10.4.1. A partial calibration procedure -- 10.4.2. Calibration to synthetic and market data -- 10.5. Conclusion and future work -- 10.6. References -- 11. Performance Persistence of Polish Mutual Funds: Mobility Measures -- 11.1. Introduction -- 11.2. Literature review -- 11.3. Dataset and empirical design -- 11.4. Empirical results -- 11.5. Monthly perspective -- 11.6. Quarterly perspective -- 11.7. Yearly perspective -- 11.8. Conclusion -- 11.9. References -- 12. Invariant Description for a Batch Version of the UCB Strategy with Unknown Control Horizon -- 12.1. Introduction -- 12.2. UCB strategy -- 12.3. Batch version of the strategy -- 12.4. Invariant description with a unit control horizon -- 12.5. Simulation results -- 12.6. Conclusion -- 12.7. Affiliations -- 12.8. References -- 13. A New Non-monotonic Link Function for Beta Regressions -- 13.1. Introduction -- 13.2. Model -- 13.3. Estimation -- 13.4. Comparison -- 13.5. Conclusion -- 13.6. References -- 14. A Method of Big Data Collection and Normalization for Electronic Engineering Applications -- 14.1. Introduction -- 14.2. Machine learning (ML) in electronic engineering -- 14.2.1. Data acquisition -- 14.2.2. Accessing the data repositories -- 14.2.3. Data storage and management -- 14.3. Electronic engineering applications - data science -- 14.4. Conclusion and future work -- 14.5. References.
15. Stochastic Runge-Kutta Solvers Based on Markov Jump Processes and Applications to Non-autonomous Systems of Differential Equations -- 15.1. Introduction -- 15.2. Description of the method -- 15.2.1. The direct simulation method -- 15.2.2. Picard iterations -- 15.2.3. Runge-Kutta steps -- 15.3. Numerical examples -- 15.3.1. The Lorenz system -- 15.3.2. A combustion model -- 15.4. Conclusion -- 15.5. References -- 16. Interpreting a Topological Measure of Complexity for Decision Boundaries -- 16.1. Introduction -- 16.2. Persistent homology -- 16.3. Methodology -- 16.3.1. Neural networks and binary classification -- 16.3.2. Persistent homology of a decision boundary -- 16.3.3. Procedure -- 16.4. Experiments and results -- 16.4.1. Three-dimensional binary classification -- 16.4.2. Data divided by a hyperplane -- 16.5. Conclusion and discussion -- 16.6. References -- 17. The Minimum Renyi's Pseudodistance Estimators for Generalized Linear Models -- 17.1. Introduction -- 17.2. The minimum RP estimators for the GLM model: asymptotic distribution -- 17.3. Example: Poisson regression model -- 17.3.1. Real data application -- 17.4. Conclusion -- 17.5. Acknowledgments -- 17.6. Appendix -- 17.6.1. Proof of Theorem 1 -- 17.7. References -- 18. Data Analysis based on Entropies and Measures of Divergence -- 18.1. Introduction -- 18.2. Divergence measures -- 18.3. Tests of fit based on Φ−divergence measures -- 18.4. Simulations -- 18.5. References -- Part 3 -- 19. Geographically Weighted Regression for Official Land Prices and their Temporal Variation in Tokyo -- 19.1. Introduction -- 19.2. Models and methodology -- 19.3. Data analysis -- 19.3.1. Data -- 19.3.2. Results -- 19.4. Conclusion -- 19.5. Acknowledgments -- 19.6. References -- 20. Software Cost Estimation Using Machine Learning Algorithms -- 20.1. Introduction -- 20.2. Methodology -- 20.2.1. Dataset.
20.2.2. Model -- 20.2.3. Evaluating the performance of the model -- 20.3. Results and discussion -- 20.4. Conclusion -- 20.5. References -- 21. Monte Carlo Accuracy Evaluation of Laser Cutting Machine -- 21.1. Introduction -- 21.2. Mathematical model of a pintograph -- 21.3. Monte Carlo simulator -- 21.4. Simulation results -- 21.5. Conclusion -- 21.6. Acknowledgments -- 21.7. References -- 22. Using Parameters of Piecewise Approximation by Exponents for Epidemiological Time Series Data Analysis -- 22.1. Introduction -- 22.2. Deriving equations for moving exponent parameters -- 22.3. Validation of derived equations by using synthetic data -- 22.4. Using derived equations to analyze real-life Covid-19 data -- 22.5. Conclusion -- 22.6. References -- 23. The Correlation Between Oxygen Consumption and Excretion of Carbon Dioxide in the Human Respiratory Cycle -- 23.1. Introduction -- 23.2. Respiratory function physiology: ventilation-perfusion ratio -- 23.3. The basic principle of operation of artificial lung ventilation devices: patient monitoring parameters -- 23.4. The algorithm for monitoring the carbon emissions and oxygen consumption -- 23.5. Results -- 23.6. Conclusion -- 23.7. References -- Part 4 -- 24. Approximate Bayesian Inference Using the Mean-Field Distribution -- 24.1. Introduction -- 24.2. Inference problem in a symmetric population system -- 24.2.1. Example of a symmetric system describing plant competition -- 24.2.2. Inference problem of the Schneider system, in a more general setting -- 24.3. Properties of the mean-field distribution -- 24.4. Mean-field approximated inference -- 24.4.1. Case of systems admitting a mean-field limit -- 24.5. Conclusion -- 24.6. References -- 25. Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space -- 25.1. Introduction and outline.
25.2. Cubature formulae on Wiener space.
Record Nr. UNINA-9910830299003321
Hoboken, NJ : , : John Wiley and Sons Inc., , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and visualization using Python : analyze data to create visualizations for BI systems / / Dr. Ossama Embarak
Data analysis and visualization using Python : analyze data to create visualizations for BI systems / / Dr. Ossama Embarak
Autore Embarak Ossama
Edizione [1st ed. 2018.]
Pubbl/distr/stampa [Berkeley, CA] : , : Apress, , [2018]
Descrizione fisica 1 online resource (390 pages) : illustrations
Disciplina 001.42
Soggetto topico Python (Computer program language)
Open source software
Computer programming
Big data
Python
Open Source
Big Data
ISBN 1-4842-4109-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to data science with python -- Chapter 2: The importance of data visualization in business intelligence -- Chapter 3: Data collections structure -- Chapter 4: File I/O processing & Regular expressions -- Chapter 5: Data gathering and cleaning -- Chapter 6: Data exploring and analysis -- Chapter 7: Data visualization -- Chapter 8: Case Study.
Record Nr. UNINA-9910300363003321
Embarak Ossama  
[Berkeley, CA] : , : Apress, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science Concepts and Techniques with Applications [[electronic resource] /] / by Usman Qamar, Muhammad Summair Raza
Data Science Concepts and Techniques with Applications [[electronic resource] /] / by Usman Qamar, Muhammad Summair Raza
Autore Qamar Usman
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (207 pages)
Disciplina 001.42
Soggetto topico Data mining
Artificial intelligence
Big data
Data Mining and Knowledge Discovery
Artificial Intelligence
Big Data/Analytics
ISBN 981-15-6133-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Applications of Data Science -- Widely used techniques in Data Science Applications -- Data Pre-processing -- Classification, Basic Concepts -- Clustering -- Text Mining -- Data Science Programming Language.
Record Nr. UNINA-9910410059303321
Qamar Usman  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science Concepts and Techniques with Applications [[electronic resource] /] / by Usman Qamar, Muhammad Summair Raza
Data Science Concepts and Techniques with Applications [[electronic resource] /] / by Usman Qamar, Muhammad Summair Raza
Autore Qamar Usman
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (207 pages)
Disciplina 001.42
Soggetto topico Data mining
Artificial intelligence
Big data
Data Mining and Knowledge Discovery
Artificial Intelligence
Big Data/Analytics
ISBN 981-15-6133-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Applications of Data Science -- Widely used techniques in Data Science Applications -- Data Pre-processing -- Classification, Basic Concepts -- Clustering -- Text Mining -- Data Science Programming Language.
Record Nr. UNISA-996465369103316
Qamar Usman  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Dealing with Data Pocket Primer
Dealing with Data Pocket Primer
Autore Campesato Oswald
Pubbl/distr/stampa Bloomfield : , : Mercury Learning & Information, , 2022
Descrizione fisica 1 online resource (246 pages)
Disciplina 001.42
Collana Computing
Soggetto topico Quantitative research - Reliability
Quantitative research - Data processing
Soggetto non controllato NLP
Pandas
RDBMS
SQL
computer science
data analytics
data cleaning
data visualization
programming
python
statistics
ISBN 1-5231-4740-7
1-68392-818-0
1-68392-819-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- Index
Record Nr. UNINA-9910795724303321
Campesato Oswald  
Bloomfield : , : Mercury Learning & Information, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Dealing with Data Pocket Primer
Dealing with Data Pocket Primer
Autore Campesato Oswald
Pubbl/distr/stampa Bloomfield : , : Mercury Learning & Information, , 2022
Descrizione fisica 1 online resource (246 pages)
Disciplina 001.42
Collana Computing
Soggetto topico Quantitative research - Reliability
Quantitative research - Data processing
Soggetto non controllato NLP
Pandas
RDBMS
SQL
computer science
data analytics
data cleaning
data visualization
programming
python
statistics
ISBN 1-5231-4740-7
1-68392-818-0
1-68392-819-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- Index
Record Nr. UNINA-9910823375903321
Campesato Oswald  
Bloomfield : , : Mercury Learning & Information, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Democratising Participatory Research : Pathways to Social Justice from the South / / Carmen Martinez-Vargas
Democratising Participatory Research : Pathways to Social Justice from the South / / Carmen Martinez-Vargas
Autore Martinez-Vargas Carmen
Pubbl/distr/stampa Cambridge, UK : , : Open Book Publishers, , 2022
Descrizione fisica 1 online resource (x, 244 pages) : illustrations
Disciplina 001.42
Soggetto topico Research - Methodology
Participant observation - Philosophy
Social justice
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Democratising Participatory Research
Record Nr. UNINA-9910774723903321
Martinez-Vargas Carmen  
Cambridge, UK : , : Open Book Publishers, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design science research methodology : theory development from artifacts / / José Osvaldo De Sordi
Design science research methodology : theory development from artifacts / / José Osvaldo De Sordi
Autore De Sordi José Osvaldo
Pubbl/distr/stampa Cham, Switzerland : , : Palgrave Macmillan, , [2021]
Descrizione fisica 1 online resource (155 pages)
Disciplina 001.42
Collana Palgrave pivot
Soggetto topico Research - Methodology
ISBN 3-030-82156-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Contents -- List of Figures -- List of Tables -- 1 DSR as an Innovation Accelerator Strategy -- Challenge of the Transition from Invention to Innovation -- Scientific Literature -- Literature for Practitioners -- Contributions of the Pragmatist Research Paradigm -- References -- 2 Core Concepts of DSR -- Science of the Artificial -- Design Theory -- Type or Class of Problem -- Usefulness of the Artifact -- Evidence of Use and Usefulness -- Innovative Artifacts from a Technological and Commercial Perspective -- Creative Tactics Used in the Creation of Artifacts -- References -- 3 Types of Artifacts or Knowledge Generated by DSR -- Construct -- Model -- Method -- Instantiation -- Evolutionary Cycles of DSR According to the Different Types of Artifacts -- References -- 4 DSR from the Perspectives of Different Areas or Professional Schools -- Longitudinal Evolution of the Adoption of the DSR Approach by Researchers -- Examples of DSR Artifacts in the Field of Medicine -- Examples of DSR Artifacts in the Field of Education -- Examples of DSR Artifacts in the Area of Administration -- Examples of DSR Artifacts in the Area of Engineering -- References -- 5 Design Science Research Method -- Phase 1-Problem Identification and Motivation -- Phase 2-Definition of the Objectives for a Solution -- Phase 3-Design and Development -- Phase 4-Demonstration -- Phase 5-Evaluation -- Phase 6-Communication -- DSRM Summary -- References -- 6 Theory Development from Artifacts -- DSR Contribution Types -- Assumptions of DSRM -- Method -- Selection of DSR Articles to Compose the Sample -- Identification of the Articles That Cited the 92 Articles Associated with Applied DSR -- Adopted Analysis Techniques -- Findings -- Scope of the Test Conducted Using the DSR Artifact and Its Impact on Its Citations and (Re)use in Subsequent Articles.
Evolutionary History of the Four DSR Projects with Subsequent Articles -- Discussion -- References -- 7 Variations of the DSR Approach -- Action Design Research (ADR) -- Action Research (AR) -- ADR Strategy -- Implications of ADR for RA Practitioners and Specialists -- Grounded Design (GD) -- Practice Theory -- References -- 8 Communication of the Results of the DSR Survey -- Structuring of Scientific Articles for Dissemination of DSR Findings -- DSR Project Structuring -- Dissemination of the Artifact to Practitioners -- References -- Annex A: Basic Heuristics -- References -- Index.
Record Nr. UNINA-9910497086003321
De Sordi José Osvaldo  
Cham, Switzerland : , : Palgrave Macmillan, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Die Wissenschaft und ihre methoden : grundsatze der wissenschaftstheorie : ein lehrbuch / Wolfgang Balzer
Die Wissenschaft und ihre methoden : grundsatze der wissenschaftstheorie : ein lehrbuch / Wolfgang Balzer
Autore BALZER, Wolfgang
Pubbl/distr/stampa Munchen : K. Albert Freiburg, 1997
Descrizione fisica 351 p. ; 22 cm
Disciplina 001.42
Soggetto topico Scienze - Metodi
ISBN 3-495-47853-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNISA-990000390840203316
BALZER, Wolfgang  
Munchen : K. Albert Freiburg, 1997
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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