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Recent Trends and Future Challenges in Learning from Data / / edited by Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler
| Recent Trends and Future Challenges in Learning from Data / / edited by Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (158 pages) |
| Disciplina | 005.7 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Quantitative research
Data mining Mathematical statistics - Data processing Statistics Machine learning Data Analysis and Big Data Data Mining and Knowledge Discovery Statistics and Computing Statistical Theory and Methods Applied Statistics Statistical Learning |
| ISBN | 3-031-54468-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Building hierarchies of factors with disjoint factor analysis -- Uncertainty in Latent Trait Models and dimensionality reduction methods for complex data: an analysis of taxpayer perception on the Fiscal System -- The predictivity of access tests for university success -- Asynchronous and synchronous-asynchronous particle swarms -- The impact of the Covid-19 pandemic on modelling volatility and risk analysis of returns in selected European financial markets -- Asymmetric binary regression models for imbalanced datasets: an application to students’ churn -- Computational models supporting decision-making in managing publication activity at Polish universities -- Stability of nonparametric methods for cognitive diagnostic assessment -- SMARTS: SeMi-supervised clustering for Assessment of Reviews using Topic and Sentiment -- The equitable and sustainable wellbeing through the pandemic. A first study to assess changes at local level in Italy -- Choice-Based Optimization under High-Dimensional MNL -- A first glance on co-evolution of Boolean networks to simulate the development of cross-talking systems in molecular biology -- Classification on polish fund market during COVID-19 pandemic - extreme risk modeling approach. |
| Record Nr. | UNINA-9910879579103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21
| Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21 |
| Autore | Davino Cristina |
| Pubbl/distr/stampa | Napoli, : FedOA - Federico II University Press, 2022 |
| Descrizione fisica | 1 electronic resource (84 p.) |
| Collana | Fuori collana |
| Soggetto topico | Society & social sciences |
| Soggetto non controllato | technology-based platforms, adaptive learning systems, statistical methods, statistics anxiety, higher education |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557533103321 |
Davino Cristina
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| Napoli, : FedOA - Federico II University Press, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Survey data collection and integration / / Cristina Davino, Luigi Fabbris, editors
| Survey data collection and integration / / Cristina Davino, Luigi Fabbris, editors |
| Pubbl/distr/stampa | Heidelberg, : Springer, 2013 |
| Descrizione fisica | 1 online resource (157 p.) |
| Disciplina | 001.433 |
| Altri autori (Persone) |
DavinoCristina
FabbrisLuigi |
| Soggetto topico |
Surveys - Methodology
Sampling (Statistics) |
| ISBN |
1-283-74064-8
3-642-21308-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. I. Introduction to statistical surveys -- pt. II. Questionnaire design -- pt. III. Sampling design and error estimation -- pt. IV. Data integration. |
| Record Nr. | UNINA-9910438141703321 |
| Heidelberg, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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