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Challenges and Algorithms for Knowledge Discovery from Data : Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday
| Challenges and Algorithms for Knowledge Discovery from Data : Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday |
| Autore | Leeuwen Matthijs van |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (348 pages) |
| Altri autori (Persone) | VreekenJilles |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
COMPUTERS / Artificial Intelligence / General
COMPUTERS / Data Science / Data Analytics MATHEMATICS / Probability & Statistics / General |
| ISBN | 9783032030283 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911114187903321 |
Leeuwen Matthijs van
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Challenges and Algorithms for Knowledge Discovery from Data : Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday
| Challenges and Algorithms for Knowledge Discovery from Data : Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday |
| Autore | Leeuwen Matthijs van |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (348 pages) |
| Altri autori (Persone) | VreekenJilles |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
COMPUTERS / Artificial Intelligence / General
COMPUTERS / Data Science / Data Analytics MATHEMATICS / Probability & Statistics / General |
| ISBN | 9783032030283 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678671603316 |
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Leeuwen Matthijs van
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data Analysis and Related Applications, Volume 5 : Models, Methods and Techniques
| Data Analysis and Related Applications, Volume 5 : Models, Methods and Techniques |
| Autore | Dimotikalis Yiannis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (436 pages) |
| Disciplina | 004 |
| Altri autori (Persone) | SkiadasChristos H |
| Collana | ISTE Invoiced Series |
| Soggetto topico |
COMPUTERS / Data Science / Data Analytics
COMPUTERS / Data Science / General |
| ISBN |
1-394-40160-4
1-394-40158-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1. Modeling/Forecasting Patient Recruitment in Multicenter Clinical Trials Using Time-dependent Models -- 1.1. Introduction -- 1.2. Poisson-gamma model with time-dependent rates -- 1.2.1. The case of homogeneous rates -- 1.3. Non-homogeneous PG model -- 1.3.1. Estimation at the interim stage -- 1.3.2. Simulation of non-homogeneous PG model -- 1.4. Testing the recruitment rates for homogeneity -- 1.4.1. Poisson-type test -- 1.4.2. Criterion for testing hypothesis H0 -- 1.4.3. Poisson-gamma test -- 1.5. Implementations -- 1.6. Acknowledgment -- 1.7. References -- Chapter 2. Forecasting the Next Megacycle of the Economy -- 2.1. Introduction -- 2.2. 2024: the end of an economic megacycle -- 2.3. The role of technology in shaping the future -- 2.4. The economic consequences of the new cycle -- 2.4.1. Presenting past megacycles -- 2.4.2. The structure of economic megacycles -- 2.4.3. Technology as a catalyst for megacycles -- 2.4.4. Historical patterns of energy and economic growth -- 2.5. The future of economic megacycles -- 2.5.1. The 2024-2080 megacycle: a new era of exponential change and growth -- 2.5.2. Stagnation phase: 2024-2052 -- 2.5.3. Growth phase: 2052-2080 -- 2.5.4. Geopolitical and societal implications -- 2.5.5. Role of labor and automation -- 2.6. Conclusions -- 2.7. References -- Chapter 3. Modeling Functioning as a Determinant of Wellbeing: A Mediation Analysis -- 3.1. Introduction -- 3.2. Methods -- 3.2.1. Procedure and participants -- 3.2.2. Measures and item selection -- 3.2.3. Statistical analyses -- 3.3. Results -- 3.3.1. Univariate analysis -- 3.3.2. Bivariate analysis: correlation analysis -- 3.3.3. Multivariate analysis: mediation analysis -- 3.4. Conclusions -- 3.5. References -- 3.6. Appendix.
Chapter 4. Cross-Cultural Issues in Psychological Assessment: A Multistrategy Approach -- 4.1. Introduction -- 4.2. Suicide risk among university students: India and Italy in direct comparison -- 4.3. Merging techniques: A better way in cross-cultural studies? -- 4.4. Do different people respond in the same way to common items? -- 4.5. Conclusions -- 4.6. References -- Chapter 5. A Control Chart for Zero-Inflated Semi-Continuous Data -- 5.1. Introduction -- 5.1.1. Zero-inflated and hurdle models for count data -- 5.1.2. Inflated distributions for semi-continuous data -- 5.2. Zero-inflated Lomax distribution -- 5.2.1. The Lomax and the zero-inflated Lomax distributions -- 5.2.2. Maximum likelihood estimates -- 5.3. Shewhart control chart for monitoring zero-inflated Lomax data -- 5.4. Performance of the proposed control chart -- 5.5. Conclusions -- 5.6. Acknowledgments -- 5.7. References -- Chapter 6. Further Results on Location Invariant Estimation of the Weibull Tail Coefficient -- 6.1. Introduction -- 6.2. Hill and GMs EVI and WTC-estimators -- 6.2.1. Power-mean-of-exponent-p (PMp) and Holder's mean-of-order-p (MOp = Hp) EVI estimation -- 6.2.2. WTC estimation -- 6.3. Classes of PORT-GMs (PGMs) WTC-estimators -- 6.4. Monte Carlo simulation of the PORT-GPMp (PGPMp) WTC-estimators -- 6.5. Overall comments and open research topics -- 6.6. Acknowledgments -- 6.7. References -- Chapter 7. What Can we Learn from Malta? An Exploration of Gender Disparities in Education, Work and Money in Europe -- 7.1. Introduction -- 7.2. Gender gap: education, work and money -- 7.3. Gender Equality Index -- 7.4. Three-way data approach based on principal component analysis -- 7.5. Evidence from principal component analysis -- 7.6. Results of trajectory analysis -- 7.7. Conclusions -- 7.8. Acknowledgments -- 7.9. References. Chapter 8. Financial Analysis of a Public Hospital: The Case of the Corfu General Hospital -- 8.1. Introduction -- 8.2. Materials and methods -- 8.3. Results -- 8.3.1. Liquidity ratios -- 8.3.2. Financial structure and viability ratios -- 8.3.3. Activity ratios -- 8.3.4. Profitability ratios -- 8.4. Discussion -- 8.5. References -- Chapter 9. EWMA Control Charts for Skewed Distributions -- 9.1. Introduction -- 9.2. Exponentially weighted moving average control charts -- 9.3. EMMA control charts for the non-normal process -- 9.3.1. The WVEWMA control chart -- 9.3.2. The WSDEWMA control chart -- 9.3.3. Newly proposed SCEWMA control chart -- 9.4. Real data -- 9.5. Simulation study -- 9.6. Simulation algorithm -- 9.7. Results and discussion -- 9.8. Conclusion -- 9.9. References -- Chapter 10. Assessing the Impact of Renewable Energy Sources on Energy Economics: A Non-Linear Regression Analysis of Hellenic Energy Exchange Market Clearing Prices -- 10.1. Introduction -- 10.2. Methodology -- 10.2.1. Spearman's rank -- 10.2.2. Sparse autoencoder -- 10.3. Results -- 10.4. Discussion -- 10.5. Conclusions -- 10.6. Acknowledgments -- 10.7. References -- Chapter 11. Enhancing Energy Market Stability: Comparative Analysis of Forecasting Techniques for Market Clearing Prices in the Day-Ahead Market -- 11.1. Introduction -- 11.2. Methodology -- 11.3. Results -- 11.4. Discussion -- 11.5. Conclusions -- 11.6. Acknowledgments -- 11.7. References -- Chapter 12. Using the Coxian Continuous-Time Hidden Markov Model to Analyze Lombardy Region Wards for Older Individuals -- 12.1. Introduction -- 12.2. Methodology -- 12.3. Data and results -- 12.3.1. Data -- 12.3.2. Results -- 12.4. Conclusions -- 12.5. Practice implications -- 12.6. Conflict of interest -- 12.7. References -- Chapter 13. Estimators for Extreme Value Index: Advancements in Tail Inference. 13.1. Introduction -- 13.2. Estimators for the tail parameters -- 13.2.1. The new class of estimators for the EVI -- 13.2.2. Asymptotic properties of the GPWM estimators -- 13.2.3. Estimating an extreme quantile -- 13.3. Monte Carlo simulation study of the GPWM estimators -- 13.3.1. Methodology -- 13.3.2. Results -- 13.4. Conclusion -- 13.5. Acknowledgments -- 13.6. References -- Chapter 14. Determinants of Students' Attitude Toward History: An Empirical Approach -- 14.1. Introduction -- 14.2. Previous research -- 14.2.1. Attitude toward history -- 14.2.2. Educational factors -- 14.2.3. Socioeconomic factors -- 14.3. Data and methods -- 14.3.1. Data -- 14.3.2. Empirical methodology -- 14.4. Results -- 14.5. Summary and conclusions -- 14.6. Appendices -- 14.6.1. Appendix A: the initial full questionnaire for the attitude survey toward history (EDIS) -- 14.6.2. Appendix B: the final questionnaire for the attitude survey toward history (EDIS) -- 14.6.3. Appendix C -- 14.7. References -- Chapter 15. Methodological Procedures for Assessing the Quality of Death Certificates Due to Unknown Causes -- 15.1. Introduction -- 15.2. Methods -- 15.2.1. First step: correction of underregistration of deaths (f) -- 15.2.2. Second step: redistribution of deaths due to ill-defined causes -- 15.2.3. Third step: redistribution of deaths due to non-specific causes (garbage codes) -- 15.3. Illustrative example -- 15.4. Conclusions -- 15.5. References -- Chapter 16. Health Status, Cancer and Pneumonia Death Rates in Europe: 2019-2022 -- 16.1. Introduction -- 16.2. Background -- 16.3. Methods -- 16.4. Results and discussion -- 16.4. Conclusions -- 16.5. References -- Chapter 17. A Bayesian Asymmetric Approach to Modeling Volatility on Portfolios with Many Assets -- 17.1. Introduction -- 17.2. Dynamic principal component analysis -- 17.3. Bayesian Student-t GJR(1,1) model. 17.4. Asymmetric modeling of a portfolio with many assets -- 17.5. Forecasting, predictive ability and risk estimation -- 17.6. Conclusion -- 17.7. References -- Chapter 18. Pandemic-Driven Innovations: Utilizing Online Learning and Big Data Analysis for Decision-Making in Educational Environments -- 18.1. Introduction -- 18.2. Literature review -- 18.2.1. Difficulties during the COVID-19 period -- 18.2.2. Effects of COVID-19 on education -- 18.2.3. Big data analysis in educational research -- 18.2.4. Related work -- 18.3. Methodology -- 18.4. Research questions -- 18.4.1. Dataset presentation -- 18.5. Conclusion -- 18.6. Suggestions for further research -- 18.7. References -- Chapter 19. Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation -- 19.1. Introduction -- 19.2. Literature review -- 19.2.1. Introduction to credit card fraud detection -- 19.2.2. The importance of detecting credit card fraud -- 19.2.3. Role of machine learning in improving decision-making processes in fraud detection -- 19.2.4. Automated pattern recognition -- 19.2.5. Predictive modeling -- 19.2.6. Dynamic risk scoring -- 19.2.7. Anomaly detection -- 19.2.8. Natural language processing (NLP) -- 19.2.9. Integration with existing systems -- 19.2.10. Credit card fraud detection: machine learning applications -- 19.2.11. Credit card fraud detection using Apache Spark -- 19.2.12. How can machine learning algorithms enhance decision quality in detecting fraud? -- 19.2.13. Improved detection accuracy -- 19.2.14. Real-time processing and analysis -- 19.2.15. Handling big data and complex variables -- 19.2.16. Adaptive learning for evolving threats -- 19.2.17. Cost efficiency through automation -- 19.2.18. Enhanced scalability -- 19.3. Materials and methods -- 19.3.1. Performance evaluation -- 19.4. Results. 19.4.1. Comparative analysis. |
| Record Nr. | UNINA-9911021978603321 |
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Dimotikalis Yiannis
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Generalized Linear Models : Problems with Censored, Missing, and Zero-Inflated Data
| Generalized Linear Models : Problems with Censored, Missing, and Zero-Inflated Data |
| Autore | Dupuy Jean-François |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (243 pages) |
| Disciplina | 519.535 |
| Collana | ISTE Invoiced Series |
| Soggetto topico | COMPUTERS / Data Science / Data Analytics |
| ISBN |
1-394-38845-4
1-394-38840-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Dedication Page -- Title Page -- Copyright Page -- Contents -- Preface -- Notation and Acronyms -- Chapter 1. Exponential Families -- 1.1. Definition -- 1.2. Mean, variance, and variance function -- 1.3. Examples of exponential families -- 1.4. Maximum likelihood estimation -- 1.5. Technical appendix -- 1.5.1. Some useful results from probability -- 1.5.2. Negative binomial distribution and Poisson-gamma mixtures -- 1.6. Exercises -- Chapter 2. From Linear Models to GLMs -- 2.1. Reminders on the linear model -- 2.1.1. Matrix form of the linear model -- 2.1.2. Some examples of linear models -- 2.1.3. Least-squares approximation -- 2.1.4. Asymptotics of the LSE -- 2.1.5. Linear Gaussian model -- 2.2. Three components of a generalized linear model -- 2.2.1. The random component -- 2.2.2. The linear predictor -- 2.2.3. The link function -- 2.3. Estimation in generalized linear models -- 2.3.1. Maximum likelihood -- 2.3.2. Asymptotic properties and inference -- 2.3.3. Estimating the dispersion parameter -- 2.4. Some examples -- 2.4.1. Logistic regression model -- 2.4.2. Poisson regression model -- 2.4.3. Gamma regression model -- 2.5. Generalized linear models in R: Poisson regression example -- 2.5.1. Confidence intervals and hypothesis tests -- 2.5.2. AIC and BIC, variable selection -- 2.5.3. Prediction, confidence intervals for a prediction -- 2.6. Technical appendix -- 2.6.1. Some probability distributions -- 2.6.2. Cochran's theorem -- 2.7. Exercises -- Chapter 3. Censored and Missing Data in GLMs -- 3.1. Censored data -- 3.1.1. Introduction -- 3.1.2. Poisson regression with a right-censored response -- 3.1.3. Gamma regression with a right-censored response -- 3.2. Missing data problems -- 3.2.1. Introduction -- 3.2.2. Missing data typology -- 3.2.3. Methods for treating missing data -- 3.2.4. A missing data problem in the Poisson model.
3.2.5. A missing data problem in the gamma regression model -- 3.3. Technical appendix -- 3.3.1. Two lemmas -- 3.3.2. Proof of theorem 3.3 -- 3.3.3. Proof of theorem 3.4 -- 3.3.4. Proof of theorem 3.5 -- 3.3.5. Proof of theorem 3.6 -- 3.3.6. Elements of empirical processes -- 3.4. Exercises -- Chapter 4. Zero-Inflated Models -- 4.1. Introduction -- 4.1.1. Overdispersion -- 4.1.2. Excess of zeros -- 4.2. Zero-inflated Poisson models and extensions -- 4.2.1. The zero-inflated Poisson model -- 4.2.2. Semi-parametric ZIP models -- 4.2.3. Zero-inflated generalized Poisson model -- 4.2.4. A zero-inflation test -- 4.3. Zero-inflated negative binomial model -- 4.3.1. Negative binomial model -- 4.3.2. ZINB model -- 4.3.3. The ZIP model versus the ZINB model -- 4.4. Zero-inflated binomial model -- 4.5. Censored and missing data: examples of problems -- 4.5.1. Censored ZIP model -- 4.5.2. Missing covariables in the ZIB model -- 4.5.3. Missing covariables in the ZIP model -- 4.6. Marginal zero-inflated models -- 4.6.1. Introduction -- 4.6.2. MZIP and MZINB models -- 4.7. Exercises -- References -- Index -- Other titles from ISTE in Mathematics and Statistics -- EULA. |
| Record Nr. | UNINA-9911019512803321 |
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Dupuy Jean-François
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematics for Digital Science 3 : Data Analysis and Optimization
| Mathematics for Digital Science 3 : Data Analysis and Optimization |
| Autore | Cochard Gérard-Michel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) | HifiMhand |
| Collana | ISTE Invoiced Series |
| Soggetto topico |
COMPUTERS / Computer Science
COMPUTERS / Data Science / Data Analytics |
| ISBN |
1-394-38854-3
1-394-38852-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911019652903321 |
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Cochard Gérard-Michel
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Security and Trust Management : 21st International Workshop, STM 2025, Toulouse, France, September 25-26, 2025, Proceedings
| Security and Trust Management : 21st International Workshop, STM 2025, Toulouse, France, September 25-26, 2025, Proceedings |
| Autore | Katsikas Sokratis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (370 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) | AlcarazCristina |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
COMPUTERS / Business & Productivity Software / General
COMPUTERS / Data Science / Data Analytics MATHEMATICS / Probability & Statistics / General |
| ISBN | 3-032-06155-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911114658103321 |
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Katsikas Sokratis
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Security and Trust Management : 21st International Workshop, STM 2025, Toulouse, France, September 25-26, 2025, Proceedings
| Security and Trust Management : 21st International Workshop, STM 2025, Toulouse, France, September 25-26, 2025, Proceedings |
| Autore | Katsikas Sokratis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (370 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) | AlcarazCristina |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
COMPUTERS / Business & Productivity Software / General
COMPUTERS / Data Science / Data Analytics MATHEMATICS / Probability & Statistics / General |
| ISBN | 3-032-06155-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678671003316 |
|
Katsikas Sokratis
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Universal Behavior Computing for Security and Safety
| Universal Behavior Computing for Security and Safety |
| Autore | Wang Cheng |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (296 pages) |
| Altri autori (Persone) | ZhuHangyu |
| Collana | Behavioral Science and Psychology Series |
| Soggetto topico |
COMPUTERS / Data Science / Data Analytics
COMPUTERS / Internet / Online Safety & Privacy MATHEMATICS / Probability & Statistics / General Comportament col·lectiu Interacció persona-ordinador Seguretat informàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819790142
981979014X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910978385403321 |
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Wang Cheng
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| Singapore : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Vehicle accident analysis and reconstruction methods / / R. Matthew Brach, Raymond M. Brach, James J. Mason
| Vehicle accident analysis and reconstruction methods / / R. Matthew Brach, Raymond M. Brach, James J. Mason |
| Autore | Brach R. Michael |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Warrendale, Pennsylvania : , : SAE International, , [2022] |
| Descrizione fisica | 1 online resource (1 PDF (xxvi, 568 pages)) : illustrations |
| Disciplina | 614.862072 |
| Soggetto topico |
Transportation accidents - Investigation
Traffic accidents - Research Traffic accident investigation - Data processing TECHNOLOGY & ENGINEERING / Automotive TRANSPORTATION / Automotive / General COMPUTERS / Data Science / Data Analytics Automotive technology and trades Road and motor vehicles: general interest Data capture and analysis |
| ISBN |
9781523149513
1523149515 9781468603453 1468603450 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Uncertainty and sensitivity in measurements and calculations in accident reconstruction -- Chapter 2. Tire forces -- Chapter 3. Straight-line motion -- Chapter 4. Critical speed from tire yaw marks -- Chapter 5. Reconstruction of vehicular rollover accidents -- Chapter 6. Analysis of collisions, impulse-momentum theory -- Chapter 7. Event data recorders and crash reconstruction -- Chapter 8. Reconstruction applications, impulse-momentum theory -- Chapter 9. Collisions of articulated vehicles, impulse-momentum theory -- Chapter 10. Crush energy and ΔV --Chapter 11. Frontal vehicle- pedestrian collisions -- Chapter 12. Photogrammetry for accident reconstruction -- Chapter 13. Railroad grade crossing and road intersection conflicts -- Chapter 14. Vehicle dynamic simulation. |
| Record Nr. | UNINA-9911007283403321 |
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Brach R. Michael
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| Warrendale, Pennsylvania : , : SAE International, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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